Table:
Cash value (in millions USD)

Annuity value (in millions USD)

Drawing date

Winner(s)

Description

$878

$1.537

October 23, 2018[3]

1 SC

World's largest jackpot (cash or annuity)

$474

$656

March 30, 2012

3 (MD, KS, IL)

World's third largest jackpot (cash or annuity)

$347.7[21]

$648[9]

December 17, 2013

2 (CA, GA)

Second-largest annuity value

$320

$543

July 24, 2018[48]

1 (CA)

$378

$536

July 8, 2016[49][24]

1 (IN)

$324.6

$533

March 30, 2018[50][25]

1 (NJ)

$282

$451

January 5, 2018[51][52]

1 (FL)

$262

$437

January 1, 2019[53]

1 (NY)

$231

$414

March 18, 2014[54]

2 (MD, FL)

$247.3

$393

August 11, 2017[55]

1 (IL)

$240

$380

January 4, 2011

2 (ID, WA)

$233

$390

March 6, 2007

2 (GA, NJ)

$224

$400

March 18, 2014

2 (FL, MD)

$210

$336

August 28, 2009

2 (CA, NY)

NY winner chose annuity (the cash/annuity choice made "when playing" required per then-NY Lottery rules)

$208.3

$330

August 31, 2007

4 (NJ, MD, TX, VA)

$197.5

$326

November 4, 2014

1 (NY)

Sold in Middletown, Orange County[56]

$202.9

$319

March 25, 2011

1 (Albany, NY)

$180

$363

May 9, 2000

2 (IL, MI)

Largest The Big Game jackpot

Inspect the provided table and determine the locations of cells that have the following values.
Express the cell positions as JSON {'value': '<cell value>', 'location': (row index, column index)}, with row and column indices beginning from 1. For the case where a cell is not contained in the table, its location should be denoted as 'DOES NOT EXIST'.
(1) '$648',
(2) '2 (FL, MD)',
(3) '$656',
(4) '2 (ID, WA)',

The target cell locations are as follows:
(1) {'value': '$648', 'location': (4, 2)}
(2) {'value': '2 (FL, MD)', 'location': (14, 4)}
(3) {'value': '$656', 'location': (3, 2)}
(4) {'value': '2 (ID, WA)', 'location': (12, 4)}