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:
4 Clonard Lad 8/1 7.70 1.90 8/1
11 The Job Is Right 9/2 5/1 9/2 5/1 9/2 3.40 1.50 9/2
12 Thunder And Roses 5/2 7.80 2.00 5/2
21 Posh Frock 33/1 56.40 7.00 33/1
6 Inishturk Lad 20/1 16/1 26.80 3.20 20/1
3 Banned In Bhutan 66/1 114.60 22.20 66/1
19 Katie Lu 66/1 135.50 16.10 66/1
17 One Cool Boy 33/1 50/1 95.10 9.40 33/1
9 Never Said That 100/1 88.20 48.70 100/1
1 Aces And Kings 33/1 27.20 7.00 33/1
20 Lotus Lily 50/1 66/1 62.90 9.90 50/1
14 Gold Not Silver 66/1 185.30 19.90 66/1
10 No More Vino 66/1 102.80 17.40 66/1
7 Keepaspotforme 100/1 66/1 100/1 78.70 27.00 100/1
15 High Bay 66/1 172.70 52.40 66/1
18 Endless Days 100/1 66/1 100/1 167.30 63.90 100/1
16 Hologram 16/1 14/1 16/1 19.70 4.00 16/1
8 Little Wing Man 66/1 90.80 8.70 66/1
13 Courage 20/1 16/1 13.70 3.20 20/1



TEGRA_table_txt_file: table_7067.txt
TEGRA_TABLE_TEXT: 4 Clonard Lad 8/1 7.70 1.90 8/1
11 The Job Is Right 9/2 5/1 9/2 5/1 9/2 3.40 1.50 9/2
12 Thunder And Roses 5/2 7.80 2.00 5/2
21 Posh Frock 33/1 56.40 7.00 33/1
6 Inishturk Lad 20/1 16/1 26.80 3.20 20/1
3 Banned In Bhutan 66/1 114.60 22.20 66/1
19 Katie Lu 66/1 135.50 16.10 66/1
17 One Cool Boy 33/1 50/1 95.10 9.40 33/1
9 Never Said That 100/1 88.20 48.70 100/1
1 Aces And Kings 33/1 27.20 7.00 33/1
20 Lotus Lily 50/1 66/1 62.90 9.90 50/1
14 Gold Not Silver 66/1 185.30 19.90 66/1
10 No More Vino 66/1 102.80 17.40 66/1
7 Keepaspotforme 100/1 66/1 100/1 78.70 27.00 100/1
15 High Bay 66/1 172.70 52.40 66/1
18 Endless Days 100/1 66/1 100/1 167.30 63.90 100/1
16 Hologram 16/1 14/1 16/1 19.70 4.00 16/1
8 Little Wing Man 66/1 90.80 8.70 66/1
13 Courage 20/1 16/1 13.70 3.20 20/1
label: 4||Clonard Lad||8/1||7.70||1.90||8/1
11||The Job Is Right||9/2 5/1 9/2 5/1 9/2||3.40||1.50||9/2
12||Thunder And Roses||5/2||7.80||2.00||5/2
21||Posh Frock||33/1||56.40||7.00||33/1
6||Inishturk Lad||20/1 16/1||26.80||3.20||20/1
3||Banned In Bhutan||66/1||114.60||22.20||66/1
19||Katie Lu||66/1||135.50||16.10||66/1
17||One Cool Boy||33/1 50/1||95.10||9.40||33/1
9||Never Said That||100/1||88.20||48.70||100/1
1||Aces And Kings||33/1||27.20||7.00||33/1
20||Lotus Lily||50/1 66/1||62.90||9.90||50/1
14||Gold Not Silver||66/1||185.30||19.90||66/1
10||No More Vino||66/1||102.80||17.40||66/1
7||Keepaspotforme||100/1 66/1 100/1||78.70||27.00||100/1
15||High Bay||66/1||172.70||52.40||66/1
18||Endless Days||100/1 66/1 100/1||167.30||63.90||100/1
16||Hologram||16/1 14/1 16/1||19.70||4.00||16/1
8||Little Wing Man||66/1||90.80||8.70||66/1
13||Courage||20/1 16/1||13.70||3.20||20/1