Task: List-to-table (source dataset: TEGRA)

You are given a table below, where each row corresponds to a record, with multiple columns/attributes. However, the column delimiters separating cell values belonging to different columns within the same row, are missing. 

Your task is to inspect the data below, identify column separators, and mark them clearly using "||" in each row. Please ensure that after your column separators "||" are inserted, each row should have the same number of columns. Also make sure that the output table preserves the order of the input rows, with each output row separated by a new line just like the input rows. 

No explanation and return the processed table string in JSON format: {"table": "<processed table string>"}

Input:
2 Arsenal 14 8 21 1 Giroud, O (43) 321
3 Southampton 7 2 6 5 Fonte, J (38) 315
4 Liverpool 11 5 8 3 Sturridge, D (50) 305
5 Chelsea 10 4 11 3 Terry, J (34) 301
6 West Ham United 7 5 7 4 Reid, W (32) 291
7 Tottenham Hotspur 6 5 9 4 Walker, K (27) 289
8 Everton 10 9 10 3 Baines, L (30) 279
9 West Bromwich Albion 7 6 10 2 Amalfitano, M (29) 265
10 Hull City 6 7 5 3 Brady, R (30) 255
11 Manchester United 10 9 6 2 Rooney, W (30) 250
12 Newcastle United 9 12 11 2 Remy, L (40) 245
13 Aston Villa 9 8 7 2 Benteke, C (26) 242
14 Cardiff City 7 9 9 1 Campbell, F (26) 233
14 Stoke City 4 7 5 2 Shawcross, R (24) 233
16 Swansea City 8 11 9 2 Davies, B (25) 229
17 Norwich City 5 9 6 2 van Wolfswinkel, R (22) 228
18 Fulham 5 9 5 2 Riether, S (26) 219
19 Crystal Palace 5 13 2 0 Gayle, D (22) 166



TEGRA_table_txt_file: table_2431.txt
TEGRA_TABLE_TEXT: 2 Arsenal 14 8 21 1 Giroud, O (43) 321
3 Southampton 7 2 6 5 Fonte, J (38) 315
4 Liverpool 11 5 8 3 Sturridge, D (50) 305
5 Chelsea 10 4 11 3 Terry, J (34) 301
6 West Ham United 7 5 7 4 Reid, W (32) 291
7 Tottenham Hotspur 6 5 9 4 Walker, K (27) 289
8 Everton 10 9 10 3 Baines, L (30) 279
9 West Bromwich Albion 7 6 10 2 Amalfitano, M (29) 265
10 Hull City 6 7 5 3 Brady, R (30) 255
11 Manchester United 10 9 6 2 Rooney, W (30) 250
12 Newcastle United 9 12 11 2 Remy, L (40) 245
13 Aston Villa 9 8 7 2 Benteke, C (26) 242
14 Cardiff City 7 9 9 1 Campbell, F (26) 233
14 Stoke City 4 7 5 2 Shawcross, R (24) 233
16 Swansea City 8 11 9 2 Davies, B (25) 229
17 Norwich City 5 9 6 2 van Wolfswinkel, R (22) 228
18 Fulham 5 9 5 2 Riether, S (26) 219
19 Crystal Palace 5 13 2 0 Gayle, D (22) 166
label: 2||Arsenal||14||8||21||1||Giroud, O (43)||321
3||Southampton||7||2||6||5||Fonte, J (38)||315
4||Liverpool||11||5||8||3||Sturridge, D (50)||305
5||Chelsea||10||4||11||3||Terry, J (34)||301
6||West Ham United||7||5||7||4||Reid, W (32)||291
7||Tottenham Hotspur||6||5||9||4||Walker, K (27)||289
8||Everton||10||9||10||3||Baines, L (30)||279
9||West Bromwich Albion||7||6||10||2||Amalfitano, M (29)||265
10||Hull City||6||7||5||3||Brady, R (30)||255
11||Manchester United||10||9||6||2||Rooney, W (30)||250
12||Newcastle United||9||12||11||2||Remy, L (40)||245
13||Aston Villa||9||8||7||2||Benteke, C (26)||242
14||Cardiff City||7||9||9||1||Campbell, F (26)||233
14||Stoke City||4||7||5||2||Shawcross, R (24)||233
16||Swansea City||8||11||9||2||Davies, B (25)||229
17||Norwich City||5||9||6||2||van Wolfswinkel, R (22)||228
18||Fulham||5||9||5||2||Riether, S (26)||219
19||Crystal Palace||5||13||2||0||Gayle, D (22)||166