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:
Australia 10 30 15 10 15 0/30
Austria 0/10 20 5 0/25 15 25
Belgium 0/10 15 10 1 15 25
Bulgaria 10 15 (c) 15 0 10/15
Canada 10 25 15 25 15 25
China 10 20 10 20 10 20
Cyprus 10 5/10 10 25 15 20
Czech Republic 5 25 0 25 5 25
Denmark 0 30 0 0 0/15 25
Finland 0/10 28 10 0 5/15 28
France 0/10 33.33 10 0/15 5/15 25
Germany 0/10 25 10 0 5/15 25
Hungary 10 18 10 18 5/15 0/20
India 15 30 10 20 10/15 20
Italy 0/10 22.5 0/10 12.5/27 15 27/12.5
Korea, Republic of 0 25 0/10 25 5/15 25
Libya 15 0 15 15 15 0
Luxemburg 10 12/10 0 0 5/15 25
Netherlands 0/10 0 0/10 0 5/15 25
Norway 0/10 0 0/10 0 15 25
Pakistan 0/10 4 10 46 15 15/10
Poland 10 20 0/10 20 55/15 20
Romania 5 15 5 10 5 10
South Africa 10 12 10 0 5/15 0
Sweden 0 0 0 0 0/15 30
Switzerland* n/a 0 n/a 35 n/a 35
United Kingdom 10 23 10 20 n/a 0



TEGRA_table_txt_file: table_2820.txt
TEGRA_TABLE_TEXT: Australia 10 30 15 10 15 0/30
Austria 0/10 20 5 0/25 15 25
Belgium 0/10 15 10 1 15 25
Bulgaria 10 15 (c) 15 0 10/15
Canada 10 25 15 25 15 25
China 10 20 10 20 10 20
Cyprus 10 5/10 10 25 15 20
Czech Republic 5 25 0 25 5 25
Denmark 0 30 0 0 0/15 25
Finland 0/10 28 10 0 5/15 28
France 0/10 33.33 10 0/15 5/15 25
Germany 0/10 25 10 0 5/15 25
Hungary 10 18 10 18 5/15 0/20
India 15 30 10 20 10/15 20
Italy 0/10 22.5 0/10 12.5/27 15 27/12.5
Korea, Republic of 0 25 0/10 25 5/15 25
Libya 15 0 15 15 15 0
Luxemburg 10 12/10 0 0 5/15 25
Netherlands 0/10 0 0/10 0 5/15 25
Norway 0/10 0 0/10 0 15 25
Pakistan 0/10 4 10 46 15 15/10
Poland 10 20 0/10 20 55/15 20
Romania 5 15 5 10 5 10
South Africa 10 12 10 0 5/15 0
Sweden 0 0 0 0 0/15 30
Switzerland* n/a 0 n/a 35 n/a 35
United Kingdom 10 23 10 20 n/a 0
label: Australia||10||30||15||10||15||0/30
Austria||0/10||20||5||0/25||15||25
Belgium||0/10||15||10||1||15||25
Bulgaria||10||15||(c)||15||0||10/15
Canada||10||25||15||25||15||25
China||10||20||10||20||10||20
Cyprus||10||5/10||10||25||15||20
Czech Republic||5||25||0||25||5||25
Denmark||0||30||0||0||0/15||25
Finland||0/10||28||10||0||5/15||28
France||0/10||33.33||10||0/15||5/15||25
Germany||0/10||25||10||0||5/15||25
Hungary||10||18||10||18||5/15||0/20
India||15||30||10||20||10/15||20
Italy||0/10||22.5||0/10||12.5/27||15||27/12.5
Korea, Republic of||0||25||0/10||25||5/15||25
Libya||15||0||15||15||15||0
Luxemburg||10||12/10||0||0||5/15||25
Netherlands||0/10||0||0/10||0||5/15||25
Norway||0/10||0||0/10||0||15||25
Pakistan||0/10||4||10||46||15||15/10
Poland||10||20||0/10||20||55/15||20
Romania||5||15||5||10||5||10
South Africa||10||12||10||0||5/15||0
Sweden||0||0||0||0||0/15||30
Switzerland*||n/a||0||n/a||35||n/a||35
United Kingdom||10||23||10||20||n/a||0