Table:
County

Brown

Votes

Nixon

Votes

Wyckoff

Votes

Plumas

66.44%

3,397

31.76%

1,624

1.80%

92

Trinity

64.58%

2,201

33.69%

1,148

1.73%

59

Solano

64.31%

25,987

34.37%

13,888

1.32%

532

Shasta

63.97%

14,753

34.07%

7,858

1.96%

453

Lassen

62.50%

3,500

35.14%

1,968

2.36%

132

San Francisco

62.19%

180,298

36.96%

107,165

0.85%

2,455

Sacramento

60.69%

115,462

37.74%

71,788

1.57%

2,988

Yolo

60.67%

13,334

37.82%

8,311

1.51%

332

Madera

60.46%

7,728

38.36%

4,903

1.19%

152

Placer

59.98%

13,592

38.29%

8,677

1.72%

390

Siskiyou

59.98%

7,718

38.41%

4,942

1.62%

208

Kings

59.03%

9,141

39.48%

6,113

1.49%

231

Amador

58.16%

2,811

40.16%

1,941

1.68%

81

Alameda

57.98%

206,861

40.88%

145,851

1.13%

4,038

Sierra

57.98%

676

39.54%

461

2.49%

29

Fresno

57.78%

68,187

40.85%

48,211

1.37%

1,615

Merced

57.62%

14,105

41.14%

10,071

1.23%

302

El Dorado

56.25%

6,572

41.44%

4,842

2.30%

269

Contra Costa

55.49%

91,150

43.34%

71,192

1.18%

1,935

Yuba

53.77%

5,028

44.74%

4,184

1.49%

139

Stanislaus

53.64%

30,431

44.80%

25,417

1.57%

888

Napa

53.50%

14,748

44.72%

12,326

1.78%

490

Ventura

53.46%

37,777

45.15%

31,899

1.39%

982

San Luis Obispo

52.86%

16,110

45.36%

13,825

1.78%

543

Tuolumne

52.48%

3,631

46.06%

3,187

1.46%

101

Humboldt

52.19%

17,739

46.22%

15,708

1.59%

540

Kern

52.10%

48,737

46.33%

43,342

1.57%

1,471

Colusa

52.06%

2,320

46.14%

2,056

1.80%

80

Del Norte

51.97%

2,741

45.85%

2,418

2.18%

115

San Mateo

51.88%

90,464

47.09%

82,115

1.03%

1,797

Los Angeles

51.83%

1,191,724

46.98%

1,080,113

1.19%

27,445

Modoc

51.73%

1,641

46.44%

1,473

1.83%

58

San Bernardino

51.68%

88,437

46.78%

80,054

1.54%

2,634

Mendocino

51.50%

8,704

46.96%

7,936

1.54%

261

Tehama

51.36%

5,077

46.44%

4,591

2.21%

218

Santa Clara

51.20%

121,149

47.63%

112,700

1.18%

2,783

Nevada

51.02%

4,818

47.12%

4,450

1.85%

175

San Joaquin

49.40%

43,276

49.25%

43,147

1.34%

1,178

Sonoma

49.19%

29,373

49.65%

29,647

1.17%

696

Tulare

49.08%

24,598

49.71%

24,914

1.21%

608

Glenn

48.70%

3,299

49.50%

3,353

1.80%

122

San Benito

48.30%

2,527

50.46%

2,640

1.24%

65

Butte

47.74%

16,142

50.79%

17,172

1.47%

497

Mariposa

47.50%

1,272

50.37%

1,349

2.13%

57

Santa Barbara

47.50%

30,424

51.24%

32,821

1.26%

807

Inyo

47.00%

2,526

50.99%

2,740

2.01%

108

Riverside

46.60%

50,257

51.86%

55,926

1.54%

1,666

Monterey

46.52%

24,801

52.52%

28,000

0.96%

512

Calaveras

46.37%

2,379

51.75%

2,655

1.87%

96

Marin

45.38%

27,664

53.67%

32,720

0.95%

582

Santa Cruz

44.93%

17,354

53.28%

20,580

1.79%

690

Lake

44.42%

3,315

54.15%

4,041

1.43%

107

Imperial

44.14%

8,241

55.01%

10,271

0.85%

158

San Diego

42.40%

153,389

55.83%

201,969

1.77%

6,416

Sutter

41.19%

4,816

57.59%

6,734

1.21%

142

Orange

39.16%

112,152

59.35%

169,962

1.49%

4,263

Mono

36.12%

488

62.18%

840

1.70%

23

Alpine

34.72%

67

63.21%

122

2.07%

4

Look at the provided table image. Your goal is to find the locations of the specified cells. Remember to represent a cell's location using the JSON {'value': '<cell value>', 'location': (row index, column index)}. Both row and column indices begin from 1. Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.
Target cells:
1. 'Mariposa',
2. '142',
3. '59.03%',
4. '50.46%',

The coordinates of target cells are listed below.
1. {'value': 'Mariposa', 'location': (45, 1)}
2. {'value': '142', 'location': (56, 7)}
3. {'value': '59.03%', 'location': (13, 2)}
4. {'value': '50.46%', 'location': (43, 4)}