Table:
Place
Code
Area (km2)
Population
Most spoken language

Backer
91101
0.34
1,217
Northern Sotho

Bochum
91102
11.64
4,142
Northern Sotho

Dendron
91103
2.98
1,885
Northern Sotho

Ga-Ramokgopha
91104
11.22
15,806
Northern Sotho

Manthata
91105
12.24
22,121
Northern Sotho

Moletji
91107
11.66
4,989
Northern Sotho

Sekgosese
91108
349.99
46,749
Northern Sotho

Sekhokho
91109
1.24
1,852
Northern Sotho

Soekmekaar
91110
1.06
217
Northern Sotho

Remainder of the municipality
91106
2,944.04
10,463
Northern Sotho

Analyze the provided table and identify the locations of these cells:
CELL VALUE 1: '1.24';
CELL VALUE 2: '91104';
CELL VALUE 3: '46,749';
CELL VALUE 4: '1,885';
CELL VALUE 5: '"Chaos"';
CELL VALUE 6: 'Ga-Ramokgopha';
CELL VALUE 7: 'Manthata';
CELL VALUE 8: '2.98';
CELL VALUE 9: '0.34';
Provide the cell locations using the JSON format {'value': '<cell value>', 'location': (Row_ID, Column_ID)}, where row and column IDs start from 1. Some cell values may not be contained in this table. If so, represent their locations as 'DOES NOT EXIST'.

The target cell locations are as follows:
CELL LOCATION 1: {'value': '1.24', 'location': (9, 3)}
CELL LOCATION 2: {'value': '91104', 'location': (5, 2)}
CELL LOCATION 3: {'value': '46,749', 'location': (8, 4)}
CELL LOCATION 4: {'value': '1,885', 'location': (4, 4)}
CELL LOCATION 5: {'value': '"Chaos"', 'location': 'DOES NOT EXIST'}
CELL LOCATION 6: {'value': 'Ga-Ramokgopha', 'location': (5, 1)}
CELL LOCATION 7: {'value': 'Manthata', 'location': (6, 1)}
CELL LOCATION 8: {'value': '2.98', 'location': (4, 3)}
CELL LOCATION 9: {'value': '0.34', 'location': (2, 3)}