Table:
Season
Age
Overall
Slalom
Giant
Slalom
Super G
Downhill
Combined

2004
17
112
–
–
51
–
—

2005
18
37
–
27
18
49
—

2006
19
22
–
18
37
15
—

2007
20
33
–
50
15
23
—

2008
21
38
–
–
35
13
—

2009
22
9
–
40
2
5
50

2010
23
28
–
–
13
23
—

2011
24
Injured, did not compete

2012
25
75
–
28
–
–
—

2013
26
37
–
17
28
30
—

Based on the given table, what are the locations of the following cells?
(1) '2009'
(2) '2'
(3) '33'
(4) 'Slalom'
(5) '11:40 A.M.'
(6) 'Time'
(7) 'Super G'
(8) '24'
(9) '2013'
(10) '12:10 P.M.'
(11) '38'
(12) '2005'
Return the cell location in the JSON format {'value': '<cell value>', 'location': (row_id, column_id)} where row id and column id all start from 1. Use 'DOES NOT EXIST' as the location for a non-existing cell in the table.

The target cell locations are as follows:
(1) {'value': '2009', 'location': (7, 1)}
(2) {'value': '2', 'location': (7, 6)}
(3) {'value': '33', 'location': (5, 3)}
(4) {'value': 'Slalom', 'location': (1, 4)}
(5) {'value': '11:40 A.M.', 'location': 'DOES NOT EXIST'}
(6) {'value': 'Time', 'location': 'DOES NOT EXIST'}
(7) {'value': 'Super G', 'location': (1, 6)}
(8) {'value': '24', 'location': (9, 2)}
(9) {'value': '2013', 'location': (11, 1)}
(10) {'value': '12:10 P.M.', 'location': 'DOES NOT EXIST'}
(11) {'value': '38', 'location': (6, 3)}
(12) {'value': '2005', 'location': (3, 1)}