Complex transformation in Excel Power Query

I have 2 input Tables. Input Table1 is the source data and input Table 2 is a criteria table.

+--------------------------+----------+  +--------------------------+-------+
|       TABLE 1 (Source data)         |  |       TABLE 2 (Criterias)        |
+-------------------------------------+  +----------------------------------+

+-------------------------------------+  +----------------------------------+
| DESCRIPTION              | VALUE    |  | PREFIX                   | CODE  |
+-------------------------------------+  +----------------------------------+
| ID                       | 0        |  | 7235                     | ABX1  |
| NAME                     | JFMSC    |  | 3553                     | POWQ  |
| TYPE                     | UHELQ    |  | 7459                     | UWEER |
| DFRUL                    | F4       |  | 10012                    | ABX1  |
| ADDR                     | 10012002 |  | 430                      | ABX1  |
| RRUL                     | P1       |  +--------------------------+-------+ 
| ADDR                     | 723      |  
| RRUL                     | P1       |  
| ID                       | 2        |  
| NAME                     | PLLSJS   |  
| TYPE                     | UHELQ    |  
| DFRUL                    | P3       |  
| ID                       | 4        |  
| NAME                     | AAAARR   |  
| TYPE                     | UHELQ    |  
| DFRUL                    | T7       |  
| ADDR                     | 35531156 |  
| RRUL                     | P1       |  
| ADDR                     | 72358    |  
| RRUL                     | P1       |  
| ADDR                     | 86401    |  
| RRUL                     | K9       |  
| ID                       | 0        |  
| NAME                     | PPROOA   |  
| TYPE                     | RRHN     |  
| DFRUL                    | P1       |  
| ADDR                     | 43001    |  
| RRUL                     | T8       |  
| ADDR                     | 7459001  |  
| RRUL                     | D4       |  
| ADDR                     | 430457   |  
| RRUL                     | W2       |  
| ADDR                     | 745913   |  
| RRUL                     | P1       |  
| ADDR                     | 74598001 |  
| RRUL                     | Y5       |  
+--------------------------+----------+

My goal is to get the an output table like below (Would be the Table #4), that shows the CODE that is THE MOST similar compared with each number of field "ADDR" based on criterias of "TABLE 2". If there are repeated CODEs for each ID, I only want to show one (unique codes list).

I explain in more detail in Sample file attached here SampleV1.xlsx.

I want to Transform the data based in Input Table 1 and 2 to get an output table like this (Desired OUTPUT TABLE #2 in file attached):

+----+--------+-------+-------+-------+------+
| ID | NAME   | TYPE  | DFRUL | CODE  | RRUL |
+----+--------+-------+-------+-------+------+  
| 0  | JFMSC  | UHELQ | P1    | ABX1  | P1   |
| 2  | PLLSJS | UHELQ | P3    |       |      |
| 4  | AAAARR | UHELQ | T7    | POWQ  | P1   |
|    |        |       |       | ABX1  | P1   |
|    |        |       |       | 86401 | K9   |
| 0  | PPROOA | RRHN  | P1    | ABX1  | P1   |
|    |        |       |       | UWEER | P1   |
+----+--------+-------+-------+-------+------+

I hope someone could help me with this. Thanks in advance.

Below is the UPDATED solution.

In general, I compiled the solution in order to be as less vulnerable to problems with data, as possible.

The only constrains to data are:

Field sets must have ID field, which must be the first field of set.
all the RRUL and ADDR have to be in pairs,
Duplicates of RRUL/ADDR pairs inside one ID are acceptable or absent.

I also compiled the solution in a way to correctly find the closest value in all possible variants of ADDR and PREFIX. By the way - there is one case, not covered in your bigsample - when PREFIX is shorter then ADDR but not equal to it. If there are such cases - my solution handles them correctly but demands some performance overhead for this particular situation.

let
        Source = #"Source data",
    #"Added Index1" = Table.AddIndexColumn(Source, "Index", 0, 1),

    #"Added Custom" = Table.AddColumn(#"Added Index1", "Main Key", each if [DESCRIPTION] = "ID" then [Index] else null, type number),

    #"Added Custom10" = Table.AddColumn(#"Added Custom", "Last notADDR", each 
        if [DESCRIPTION] <> "ADDR" and [DESCRIPTION] <> "RRUL" then [Index] else null),

    #"Filled Down" = Table.FillDown(#"Added Custom10",{"Main Key", "Last notADDR"}),

    #"Added Custom2" = Table.AddColumn(#"Filled Down", "Key", each [Main Key] + (
        if [DESCRIPTION] = "RRUL" then [Index] - [Last notADDR] - 2 
            else if [DESCRIPTION] = "ADDR" then [Index] - [Last notADDR] - 1 else 0)),

    #"Removed Columns" = Table.RemoveColumns(#"Added Custom2",{"Index", "Main Key", "Last notADDR"}),

    #"Pivoted Column1" = Table.Pivot(#"Removed Columns", 
        List.Distinct(#"Removed Columns"[DESCRIPTION]), "DESCRIPTION", "VALUE"),

    #"Added Custom3" = Table.AddColumn(#"Pivoted Column1", "CODE", each if [ADDR] = null then null else let t = Table.AddIndexColumn(Table.SelectRows(Criterias, (x)=> 
        let s=List.Sort({x[PREFIX], [ADDR]}, each Text.Length(_)) in Text.StartsWith(s{1}, s{0})), "Index")
            in if Table.RowCount(t) > 0 then Table.First(Table.Sort(t, (y)=> Number.BitwiseShiftLeft(Number.Abs(Text.Length([ADDR]) - Text.Length(y[PREFIX])), 16) + y[Index]))[CODE] 
            else "Not Found"),
    #"Removed Columns1" = Table.RemoveColumns(#"Added Custom3",{"Key", "ADDR"}),
    #"Filled Down1" = Table.FillDown(#"Removed Columns1",{"ID", "NAME", "TYPE", "DFRUL"})
in
    #"Filled Down1"