Task: Functional-Dependency (source dataset: Auto-Relate)

Given a table represented shown below, your task is to determine functional dependencies that exist in the table. Recall that a functional dependency is a relationship where the value of one attribute (or a set of attributes), known as the determinant columns, can uniquely determines the value of another attribute, known as the dependent columns (e.g., student-ID => student-Name, car-model => car-make, employee-ID => department, etc.).

Instructions:
Analyze the provided table below, identify all functional dependencies that should semantically hold in the table. Do not produce spurious relationships that not semantically meaningful.

No explanation, format the output as a JSON object:{"Functional-Dependency": <list of functional dependencies>}. Each functional dependency should be represented as [<determinant column>, <dependent column>]

Input Table:
| Ranking   |   Price Index: * | City.1.1         | City.1.2       | City.2                 | Country                |   Rank |   Score |   %Change |
|:----------|-----------------:|:-----------------|:---------------|:-----------------------|:-----------------------|-------:|--------:|----------:|
| 309th     |               69 | Tunis            |                | Tunisia                | Tunisia                |    124 |   4.461 |   -0.0285 |
| 188th     |              125 | Manama           |                | Bahrain                | Bahrain                |     37 |   6.199 |    0.0154 |
| 89th      |              154 | Reading          | Berkshire      | United Kingdom         | United Kingdom         |     15 |   7.054 |    0.0352 |
| 13th      |              215 | Oslo             |                | Norway                 | Norway                 |      3 |   7.554 |   -0.0053 |
| 159th     |              136 | Liverpool        |                | United Kingdom         | United Kingdom         |     15 |   7.054 |    0.0352 |
| 298th     |               74 | Cluj-Napoca      |                | Romania                | Romania                |     48 |   6.07  |    0.021  |
| 131st     |              142 | Milwaukee        | Wisconsin      | United States          | United States          |     19 |   6.892 |    0.0009 |
| 277th     |               81 | Sarajevo         |                | Bosnia and Herzegovina | Bosnia and Herzegovina |     78 |   5.386 |    0.0501 |
| 282nd     |               79 | Zapopan          |                | Mexico                 | Mexico                 |     23 |   6.595 |    0.0165 |
| 174th     |              131 | Genoa            |                | Italy                  | Italy                  |     36 |   6.223 |    0.0372 |
| 259th     |               87 | La Paz           |                | Bolivia                | Bolivia                |     61 |   5.779 |    0.0047 |
| 141st     |              140 | Cincinnati       | Ohio           | United States          | United States          |     19 |   6.892 |    0.0009 |
| 163rd     |              135 | Oklahoma City    | Oklahoma       | United States          | United States          |     19 |   6.892 |    0.0009 |
| 217th     |              105 | Riga             |                | Latvia                 | Latvia                 |     53 |   5.94  |    0.0012 |
| 31st      |              187 | Denver           | Colorado       | United States          | United States          |     19 |   6.892 |    0.0009 |
| 231st     |               97 | Quito            |                | Ecuador                | Ecuador                |     50 |   6.028 |    0.0092 |
| 224th     |              100 | Belo Horizonte   |                | Brazil                 | Brazil                 |     32 |   6.3   |   -0.0185 |
| 222nd     |              101 | Dammam           |                | Saudi Arabia           | Saudi Arabia           |     28 |   6.375 |    0.0006 |
| 46th      |              172 | Aarhus           |                | Denmark                | Denmark                |      2 |   7.6   |    0.006  |
| 8th       |              224 | Basel            |                | Switzerland            | Switzerland            |      6 |   7.48  |   -0.0009 |
| 144th     |              140 | Winnipeg         |                | Canada                 | Canada                 |      9 |   7.278 |   -0.0068 |
| 257th     |               88 | Casablanca       |                | Morocco                | Morocco                |     89 |   5.208 |   -0.0088 |
| 83rd      |              157 | Lyon             |                | France                 | France                 |     24 |   6.592 |    0.0159 |
| 82nd      |              157 | New Orleans      | Louisiana      | United States          | United States          |     19 |   6.892 |    0.0009 |
| 160th     |              136 | Panama City      |                | Panama                 | Panama                 |     31 |   6.321 |   -0.017  |
| 173rd     |              131 | Wichita          | Kansas         | United States          | United States          |     19 |   6.892 |    0.0009 |
| 192nd     |              123 | Kingston         |                | Jamaica                | Jamaica                |     56 |   5.89  |    0      |
| 196th     |              118 | Athens           |                | Greece                 | Greece                 |     82 |   5.287 |   -0.0133 |
| 116th     |              148 | Leeds            |                | United Kingdom         | United Kingdom         |     15 |   7.054 |    0.0352 |
| 134th     |              142 | Tulsa            | Oklahoma       | United States          | United States          |     19 |   6.892 |    0.0009 |
| 323rd     |               64 | Ahmedabad        |                | India                  | India                  |    140 |   4.015 |   -0.0418 |
| 287th     |               77 | Istanbul         |                | Turkey                 | Turkey                 |     79 |   5.373 |   -0.0201 |
| 312th     |               67 | Hyderabad        | India          | India                  | India                  |    140 |   4.015 |   -0.0418 |
| 255th     |               89 | Fortaleza        |                | Brazil                 | Brazil                 |     32 |   6.3   |   -0.0185 |
| 115th     |              148 | Houston          | Texas          | United States          | United States          |     19 |   6.892 |    0.0009 |
| 253rd     |               90 | Dhaka            |                | Bangladesh             | Bangladesh             |    125 |   4.456 |   -0.0098 |
| 102nd     |              150 | Victoria         |                | Canada                 | Canada                 |      9 |   7.278 |   -0.0068 |
| 56th      |              167 | Toronto          |                | Canada                 | Canada                 |      9 |   7.278 |   -0.0068 |
| 241st     |               93 | Curitiba         |                | Brazil                 | Brazil                 |     32 |   6.3   |   -0.0185 |
| 245th     |               92 | Manaus           |                | Brazil                 | Brazil                 |     32 |   6.3   |   -0.0185 |
| 77th      |              160 | Charlotte        | North Carolina | United States          | United States          |     19 |   6.892 |    0.0009 |
| 74th      |              161 | Bristol          |                | United Kingdom         | United Kingdom         |     15 |   7.054 |    0.0352 |
| 197th     |              117 | São Paulo        |                | Brazil                 | Brazil                 |     32 |   6.3   |   -0.0185 |
| 251st     |               90 | Brno             |                | Czech Republic         | Czech Republic         |     20 |   6.852 |    0.021  |
| 80th      |              158 | Hamburg          |                | Germany                | Germany                |     17 |   6.985 |    0.0029 |
| 124th     |              144 | Buffalo          | New York       | United States          | United States          |     19 |   6.892 |    0.0009 |
| 146th     |              139 | Saskatoon        |                | Canada                 | Canada                 |      9 |   7.278 |   -0.0068 |
| 95th      |              151 | Colorado Springs | Colorado       | United States          | United States          |     19 |   6.892 |    0.0009 |
| 106th     |              149 | Düsseldorf       |                | Germany                | Germany                |     17 |   6.985 |    0.0029 |
| 27th      |              192 | Copenhagen       |                | Denmark                | Denmark                |      2 |   7.6   |    0.006  |



label: Country
Rank
Country
Score
Country
%Change
output: {"Functional-Dependency": [["Country", "Rank"], ["Country", "Score"], ["Country", "%Change"]]}
labeled_fds: Country
Rank
Country
Score
Country
%Change
City.1.1
City.1.2
City.1.1
Country
City.1.1
Score
Score
City.2
Score
Country
Score
Rank
Score
%Change
%Change
Score
source: $MMTU_HOME/resources/Relationship-finding/FD/478116730