Table:
#
Date
Venue
Opponent
Score
Result
Competition

1
April 4, 1985
Portland, Oregon
Canada
N/A
1–1
Friendly

2
August 13, 1988
St. Louis, Missouri
Jamaica
2–1
5-1
1990 World Cup qualifying

3
September 17, 1989
Tegucigalpa, Honduras
El Salvador
1–0
1–0
1990 World Cup qualifying

4
July 3, 1991
Los Angeles, California
Costa Rica
2–2
3–2
1991 CONCACAF Gold Cup

5
March 18, 1992
Casablanca, Morocco
Morocco
1–2
1–3
Friendly

6
April 4, 1992
Palo Alto, California
China
1–0
1-0
Friendly

7
5–0

8
March 14, 1993
Tokyo, Japan
Japan
1–0
1–3
Friendly

9
October 16, 1993
High Point, North Carolina
Ukraine
1–0
1–2
Friendly

10
December 5, 1993
Los Angeles, California
El Salvador
5–0
7–0
Friendly

11
February 20, 1994
Miami, Florida
Sweden
1–3
1–0
Friendly

12
March 26, 1994
Dallas, Texas
Bolivia
1–1
2–2
Friendly

Examine the given table and locate the cells that contain the following values:
CELL VALUE 1: 'Miami, Florida',
CELL VALUE 2: '10',
CELL VALUE 3: '5-1',
CELL VALUE 4: 'Tokyo, Japan',
CELL VALUE 5: '7',
CELL VALUE 6: 'March 14, 1993',
CELL VALUE 7: '1:51.29',
Return the cell locations using the JSON format {'value': '<cell value>', 'location': (row index, column index)}, where both row and column indices commence from 1. If a cell does not exist in the table, denote its location as 'DOES NOT EXIST'.

The coordinates of target cells are listed below.
CELL LOCATION 1: {'value': 'Miami, Florida', 'location': (12, 3)}
CELL LOCATION 2: {'value': '10', 'location': (11, 1)}
CELL LOCATION 3: {'value': '5-1', 'location': (3, 6)}
CELL LOCATION 4: {'value': 'Tokyo, Japan', 'location': (9, 3)}
CELL LOCATION 5: {'value': '7', 'location': (8, 1)}
CELL LOCATION 6: {'value': 'March 14, 1993', 'location': (9, 2)}
CELL LOCATION 7: {'value': '1:51.29', 'location': 'DOES NOT EXIST'}