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

Based on the provided table, find the positions of cells with the subsequent values. Return their locations using the JSON format {'value': '<cell value>', 'location': (row index, column index)}, starting from 1 for both row and column indices. For the case where a cell is not contained in the table, its location should be denoted as 'DOES NOT EXIST'.
The target cell values:
1. '3.9';
2. 'caribbean, central/south america';
3. '67.1';
4. '60.3';

The coordinates of target cells are listed below.
1. {'value': '3.9', 'location': (8, 7)}
2. {'value': 'caribbean, central/south america', 'location': (5, 1)}
3. {'value': '67.1', 'location': (13, 2)}
4. {'value': '60.3', 'location': (11, 5)}