Task: Data-Imputation (source dataset: WebTable)

Please fill in the missing value in the input table. The missing value is denoted by '[MISSING]'. Please only return the value filled in. Do not return the whole table.

No explanation, return the value filled in JSON format: {"value": "filled_value"}. 

Input Table:
|   Rank | Company Name                                 |   2013 Rank | 2014 Revenue   | North American Brands                    | World Headquarters   | Country     |
|-------:|:---------------------------------------------|------------:|:---------------|:-----------------------------------------|:---------------------|:------------|
|      1 | Toyota Industries                            |           1 | $7,712,000,000 | Toyota, BT, Raymond                      | Aichi                | Japan       |
|      2 | KION Group                                   |           2 | $5,314,000,000 | VOLTAS, Linde, STILL, OM, Baoli          | Wiesbaden            | Germany     |
|      3 | Jungheinrich Lift Truck Corp.                |           3 | $3,033,000,000 | Jungheinrich                             | Hamburg              | [MISSING]   |
|      4 | Hyster-Yale Material Handling                |           4 | $2,767,000,000 | Hyster, Yale                             | Cleveland, Ohio      | USA         |
|      5 | Crown Equipment Corporation                  |           5 | $2,500,000,000 | Crown, Hamech                            | New Bremen, Ohio     | USA         |
|      6 | Mitsubishi Caterpillar Forklift America Inc. |           6 | $2,159,000,000 | Mitsubishi, CAT                          | Sagamihara           | Japan       |
|      7 | UniCarriers Americas Corporation             |           7 | $1,533,000,000 | Nissan, Barrett, Atlet, TCM, UniCarriers | Tokyo                | Japan       |
|      8 | Anhui Forklift Group                         |           8 | $1,123,000,000 | Heli                                     | Hefei, Anhui         | China       |
|      9 | Zhejiang Hangcha Engineering Machinery Co.   |           9 | $971,000,000   | HC                                       | Hangzhou             | China       |
|     10 | Komatsu Utility Co.                          |          10 | $900,000,000   | Komatsu, Tusk                            | Tokyo                | Japan       |
|     11 | Clark Material Handling Company              |          11 | $741,000,000   | Clark                                    | Seoul                | South Korea |
|     12 | Doosan Infracore                             |          12 | $683,000,000   | Doosan                                   | Seoul                | South Korea |
|     13 | Hyundai Heavy Industries                     |          13 | $477,000,000   | Hyundai                                  | Ulsan                | South Korea |
|     14 | Lonking Forklift Company, Ltd                |          14 | $190,000,000   | Lonking                                  | Shanghai             | China       |
|     14 | Combilift                                    |          16 | $190,000,000   | Combilift                                | Monaghan             | Ireland     |
|     16 | Tailift                                      |          15 | $181,000,000   | Tailift, Worldlift                       | Taichung             | Taiwan      |
|     17 | Hubtex                                       |          17 | $108,000,000   | Hubtex                                   | Fulda                | Germany     |
|     18 | Hytsu                                        |          18 | $82,000,000    | Hytsu                                    | Shanghai             | China       |
|     19 | Godrej & Boyce Manufacturing                 |          19 | $76,000,000    | Not available in N.A.                    | Mumbai               | India       |
|     20 | Paletrans Equipment                          |          20 | $69,000,000    | Paletrans                                | Cravinhos            | Brazil      |



row_idx: 2
col_idx: 6
col_name: Country
label: Germany