Table:
race title	circuit	city / state	date	winner	team

amaroo	amaroo park	sydney , new south wales	5 march	john bowe	dick johnson racing

launceston	symmons plains raceway	launceston , tasmania	12 march	dick johnson	dick johnson racing

lakeside	lakeside international raceway	brisbane , queensland	16 april	dick johnson	dick johnson racing

perth	barbagallo raceway	perth , western australia	30 april	john bowe	dick johnson racing

mallala	mallala motor sport park	mallala , south australia	7 may	dick johnson	dick johnson racing

sandown	sandown raceway	melbourne , victoria	21 may	dick johnson	dick johnson racing

winton	winton motor raceway	benalla , victoria	4 june	george fury	nissan motorsport australia

oran park	oran park raceway	sydney , new south wales	9 july	peter brock	mobil 1 racing

In this task, you are provided with a table image and several target cells. You are required to determine the positions of these cells, which can be represented in the json {'value': '<cell value>', 'location': (row number, column number)}, with both row number and column number start from 1. Use 'DOES NOT EXIST' as the location for a non-existing cell in the table.
Cell values are shown below:
(1) 'mobil 1 racing',
(2) '328,802',
(3) '21 may',
(4) 'sandown raceway',
(5) '1998',

The target cell locations are as follows:
(1) {'value': 'mobil 1 racing', 'location': (9, 6)}
(2) {'value': '328,802', 'location': 'DOES NOT EXIST'}
(3) {'value': '21 may', 'location': (7, 4)}
(4) {'value': 'sandown raceway', 'location': (7, 2)}
(5) {'value': '1998', 'location': 'DOES NOT EXIST'}