Table:
male
female

total number
1,242,600
1,352,000

mean age
38.6
39.4

% distribution

age group

0 to 24
22.5
19.8

25 to 44
41.7
44.4

45 to 64
29.0
27.2

65 or older
6.8
8.6

immigration category

economic class

principal applicant
26.2
12.2

dependant
23.5
33.7

family class
28.9
37.4

refugee class
16.4
12.7

other
5.0
4.0

landing year

1980 to 1989
23.2
22.3

1990 to 1999
44.1
44.9

2000 to 2006
32.7
32.8

source world region

united states
2.1
2.6

caribbean/central and south america
10.1
11.0

western europe
8.1
7.3

eastern europe
12.6
12.6

sub-saharan africa
4.8
4.6

north africa/middle east/west asia
9.4
7.7

south asia
19.3
17.6

south east asia
11.9
14.1

east asia
20.7
21.8

oceania
0.7
0.7

Inspect the provided table and determine the locations of cells that have the following values.
Express the cell positions as JSON {'value': '<cell value>', 'location': (row index, column index)}, with row and column indices beginning from 1. If a cell does not exist in the table, denote its location as 'DOES NOT EXIST'.
CELL VALUE 1: 'male',
CELL VALUE 2: '26.2',
CELL VALUE 3: '27.2',
CELL VALUE 4: '1909 - 1915 1919 - 1923',
CELL VALUE 5: '22.3',
CELL VALUE 6: 'alessandro altobelli',
CELL VALUE 7: '160',
CELL VALUE 8: '1947 - 1958',
CELL VALUE 9: 'south east asia',
CELL VALUE 10: '4.6',

The target cell locations are as follows:
CELL LOCATION 1: {'value': 'male', 'location': (1, 2)}
CELL LOCATION 2: {'value': '26.2', 'location': (12, 2)}
CELL LOCATION 3: {'value': '27.2', 'location': (8, 3)}
CELL LOCATION 4: {'value': '1909 - 1915 1919 - 1923', 'location': 'DOES NOT EXIST'}
CELL LOCATION 5: {'value': '22.3', 'location': (18, 3)}
CELL LOCATION 6: {'value': 'alessandro altobelli', 'location': 'DOES NOT EXIST'}
CELL LOCATION 7: {'value': '160', 'location': 'DOES NOT EXIST'}
CELL LOCATION 8: {'value': '1947 - 1958', 'location': 'DOES NOT EXIST'}
CELL LOCATION 9: {'value': 'south east asia', 'location': (29, 1)}
CELL LOCATION 10: {'value': '4.6', 'location': (26, 3)}