Table:
region
2011
2036

reference
low immigration
high immigration
geographic distribution of immigrants 2005 to 2010
geographic distribution of immigrants 2000 to 2005
alternative immigration composition
internal migration 2006 to 2011
internal migration 2001 to 2006
internal migration 1996 to 2001

percent

canada

english
75.4
77.8
77.7
77.8
77.6
77.7
77.8
77.8
77.8
77.9

french
22.9
20.4
20.9
20.2
20.6
20.5
20.3
20.4
20.4
20.3

neither english nor french
1.7
1.8
1.4
1.9
1.8
1.9
1.8
1.8
1.8
1.8

total
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0

quebec

english
13.6
16.9
16.4
17.2
17.0
16.9
17.1
17.2
17.3
16.4

french
85.4
82.4
83.0
82.0
82.2
82.4
82.2
82.1
82.0
82.9

neither english nor french
0.9
0.7
0.6
0.8
0.7
0.7
0.7
0.7
0.7
0.7

total
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0

canada outside quebec

english
94.2
94.7
95.1
94.6
94.7
94.6
94.7
94.9
94.9
94.3

french
3.9
3.2
3.2
3.2
3.2
3.2
3.2
3.1
3.0
3.6

neither english nor french
1.9
2.1
1.7
2.2
2.1
2.2
2.1
2.1
2.1
2.0

total
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0

To complete your task, analyze the table image and identify the positions of the specified cells. Ensure that you represent a cell's location using the JSON format {'value': '<cell value>', 'location': (Row_ID, Column_ID)}, with both row and column IDs starting from 1. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.
Target cells:
(1) '0.8';
(2) '3.9';
(3) 'canada outside quebec';
(4) 'internal migration 2006 to 2011';
(5) 'geographic distribution of immigrants 2005 to 2010';

The coordinates of target cells are listed below.
(1) {'value': '0.8', 'location': (12, 5)}
(2) {'value': '3.9', 'location': (16, 2)}
(3) {'value': 'canada outside quebec', 'location': (14, 1)}
(4) {'value': 'internal migration 2006 to 2011', 'location': (2, 9)}
(5) {'value': 'geographic distribution of immigrants 2005 to 2010', 'location': (2, 6)}