Table:
country/region of birth
all
men
women

2011
2015
change
2011
2015
change
2011
2015
change

percent
percentage point
percent
percentage point
percent
percentage point

united states, united kingdom, ireland, australia, new zealand
78.6
84.3
5.7
77.4
85.1
7.7
79.6
83.6
4.0

caribbean, central/south america
65.1
72.5
7.4
65.4
73.0
7.6
64.7
72.2
7.5

western/northern europe
79.3
82.6
3.3
81.5
84.0
2.5
77.1
81.3
4.2

southern europe
73.1
72.5
-0.6
74.2
73.6
-0.6
72.1
71.4
-0.7

eastern europe
66.7
69.7
3.0
66.7
70.6
3.9
66.7
68.9
2.2

south asia
72.4
80.5
8.1
73.7
79.5
5.8
71.1
81.5
10.4

southeast asia
64.5
74.6
10.1
66.1
74.1
8.0
63.3
75.0
11.7

east asia
59.8
64.1
4.3
60.3
65.4
5.1
59.3
62.9
3.6

west central asia and middle east
56.7
73.2
16.5
56.0
69.9
13.9
57.6
76.5
18.9

africa
67.1
78.4
11.3
72.7
79.4
6.7
60.4
77.3
16.9

Your is as follows:
Examine the table image and determine the locations of the mentioned cells. You need to express a cell's position with the JSON {'value': '<cell value>', 'location': (Row_ID, Column_ID)}, with row and column IDs both commencing from 1. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.
Cells to locate:
CELL VALUE 1: '2.5';
CELL VALUE 2: 'western/northern europe';
CELL VALUE 3: 'women';
CELL VALUE 4: '3.9';
CELL VALUE 5: '16.9';
CELL VALUE 6: '11.3';

The target cell locations are as follows:
CELL LOCATION 1: {'value': '2.5', 'location': (6, 7)}
CELL LOCATION 2: {'value': 'western/northern europe', 'location': (6, 1)}
CELL LOCATION 3: {'value': 'women', 'location': (1, 8)}
CELL LOCATION 4: {'value': '3.9', 'location': (8, 7)}
CELL LOCATION 5: {'value': '16.9', 'location': (13, 10)}
CELL LOCATION 6: {'value': '11.3', 'location': (13, 4)}