Table:
Year

Film

Rotten Tomatoes

Metacritic

IMDb

1982
Images of Liberation
N/A
N/A
5.1/10

1984
The Element of Crime
77%[69]
N/A
6.9/10

1987
Epidemic
33%[70]
66%[71]
6.1/10

1991
Europa
85%[72]
66%[73]
7.7/10

1996
Breaking the Waves
86%[74]
76%[75]
7.9/10

1998
The Idiots
70%[76]
47%[77]
6.9/10

2000
Dancer in the Dark
68%[78]
61%[79]
8.0/10

2003
The Five Obstructions
88%[80]
79%[81]
7.5/10

2003
Dogville
70%[82]
59%[83]
8.0/10

2005
Manderlay
51%[84]
46%[85]
7.4/10

2006
The Boss of It All
74%[86]
71%[87]
6.7/10

2009
Antichrist
48%[88]
49%[89]
6.6/10

2011
Melancholia
77%[90]
80%[91]
7.1/10

2013
Nymphomaniac: Volume I
77%[92]
63%[93]
7.5/10

2013
Nymphomaniac: Volume II
79%[94]
76%[95]
7.2/10

Based on the given table, what are the locations of the following cells?
1. 'Melancholia',
2. '1984',
3. '6.7/10',
4. '48%',
5. '5.1/10',
6. '86%',
7. 'Manderlay',
8. 'IMDb',
Return the cell location in the JSON format {'value': '<cell value>', 'location': (row index, column index)} where row indices and column indices all start from 1. Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.

The target cell locations are as follows:
1. {'value': 'Melancholia', 'location': (14, 2)}
2. {'value': '1984', 'location': (3, 1)}
3. {'value': '6.7/10', 'location': (12, 5)}
4. {'value': '48%', 'location': (13, 3)}
5. {'value': '5.1/10', 'location': (2, 5)}
6. {'value': '86%', 'location': (6, 3)}
7. {'value': 'Manderlay', 'location': (11, 2)}
8. {'value': 'IMDb', 'location': (1, 5)}