Table:
Place
Player
Country
Score
To par
Money ($)

1
Corey Pavin
United States
72-69-71-68=280
E
350,000

2
Greg Norman
Australia
68-67-74-73=282
+2
207,000

3
Tom Lehman
United States
70-72-67-74=283
+3
131,974

T4
Bill Glasson
United States
69-70-76-69=284
+4
66,633

Jay Haas
United States
70-73-72-69=284

Neal Lancaster
United States
70-72-77-65=284

Davis Love III
United States
72-68-73-71=284

Jeff Maggert
United States
69-72-77-66=284

Phil Mickelson
United States
68-70-72-74=284

T10
Frank Nobilo
New Zealand
72-72-70-71=285
+5
44,184

Vijay Singh
Fiji
70-71-72-72=285

Bob Tway
United States
69-69-72-75=285

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 id. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.
The target cell values:
CELL VALUE 1: 'greater than 84'
CELL VALUE 2: '30.9'
CELL VALUE 3: 'Place'
CELL VALUE 4: 'Tom Lehman'
CELL VALUE 5: '9.6'
CELL VALUE 6: 'Frank Nobilo'
CELL VALUE 7: 'Australia'
CELL VALUE 8: '69-69-72-75=285'
CELL VALUE 9: '10.4'

The coordinates of target cells are listed below.
CELL LOCATION 1: {'value': 'greater than 84', 'location': 'DOES NOT EXIST'}
CELL LOCATION 2: {'value': '30.9', 'location': 'DOES NOT EXIST'}
CELL LOCATION 3: {'value': 'Place', 'location': (1, 1)}
CELL LOCATION 4: {'value': 'Tom Lehman', 'location': (4, 2)}
CELL LOCATION 5: {'value': '9.6', 'location': 'DOES NOT EXIST'}
CELL LOCATION 6: {'value': 'Frank Nobilo', 'location': (11, 2)}
CELL LOCATION 7: {'value': 'Australia', 'location': (3, 3)}
CELL LOCATION 8: {'value': '69-69-72-75=285', 'location': (13, 4)}
CELL LOCATION 9: {'value': '10.4', 'location': 'DOES NOT EXIST'}