Table:
male overdose decedents who died before age 35
male overdose decedents who died at age 35 to 54
male british columbia residents aged 15 to 54 with t4 earnings (>$500) in 2015

percentage of those with t4 employment
percentage of all decedents
percentage of those with t4 employment
percentage of all decedents

percent

industry

construction
28.8
24.4
24.3
16.8
13.2

administrative and support, waste management and remediation services
8.4
7.1
13.7
9.5
5.2

manufacturing
10.2
8.6
11.6
8.0
9.5

accommodation and food services
11.5
9.8
6.3
4.4
8.3

retail trade
9.5
8.1
5.6
3.9
11.6

transportation and warehousing
4.5
3.8
8.4
5.8
6.4

other industries
27.0
22.9
30.0
20.7
45.8

total employed in the five years prior to death
100.0
84.7
100.0
68.9
100.0

not employed in the five years prior to death
..
15.3
..
31.1
..

total
..
100.0
..
100.0
..

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_ID, Column_ID)}, starting from 1 for both row and column IDs. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.
The target cell values:
(1) 'total';
(2) '13.7';
(3) '1938–1945';
(4) '1920–1925';
(5) '4.5';
(6) 'accommodation and food services';
(7) 'other industries';

The target cell locations are as follows:
(1) {'value': 'total', 'location': (14, 1)}
(2) {'value': '13.7', 'location': (6, 4)}
(3) {'value': '1938–1945', 'location': 'DOES NOT EXIST'}
(4) {'value': '1920–1925', 'location': 'DOES NOT EXIST'}
(5) {'value': '4.5', 'location': (10, 2)}
(6) {'value': 'accommodation and food services', 'location': (8, 1)}
(7) {'value': 'other industries', 'location': (11, 1)}