Table:
most serious sentence
single-charge cases
multiple-charge cases
total guilty cases

number
percent
number
percent
number
percent

intimate partner violence cases

custody
4,120
14
29,528
38
33,648
31

conditional sentence
937
3
4,200
5
5,137
5

probation
20,013
66
33,200
43
53,213
49

fine
778
3
5,057
7
5,835
5

other sentences
4,354
14
5,381
7
9,735
9

total guilty ipv cases
30,202
100
77,366
100
107,568
100

non-intimate partner violence (non-ipv) cases

custody
4,796
20
29,321
46
34,117
39

conditional sentence
1,269
5
4,264
7
5,533
6

probation
13,478
56
21,715
34
35,193
40

fine
1,578
7
4,452
7
6,030
7

other sentences
2,828
12
4,121
6
6,949
8

total guilty non-ipv cases
23,949
100
63,873
100
87,822
100

total guilty cases
54,151
..
141,239
..
195,390
..

Given the table image, tell me the locations of the subsequent table cells. Represent the cell location with JSON {'value': '<cell value>', 'location': (Row_ID, Column_ID)} where both Row IDs and Column IDs begin from 1.
CELL VALUE 1: '107,568';
CELL VALUE 2: '4,120';
CELL VALUE 3: '5,381';
CELL VALUE 4: '4,200';
CELL VALUE 5: 'single-charge cases';
CELL VALUE 6: '46';
For the case where a cell is not contained in the table, its location should be denoted as 'DOES NOT EXIST'.

The target cell locations are as follows:
CELL LOCATION 1: {'value': '107,568', 'location': (9, 6)}
CELL LOCATION 2: {'value': '4,120', 'location': (4, 2)}
CELL LOCATION 3: {'value': '5,381', 'location': (8, 4)}
CELL LOCATION 4: {'value': '4,200', 'location': (5, 4)}
CELL LOCATION 5: {'value': 'single-charge cases', 'location': (1, 2)}
CELL LOCATION 6: {'value': '46', 'location': (11, 5)}