In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: Cotto serves Indian food and it is located near Café Rouge.
Example Output: name[Cotto], food[Indian], near[Café Rouge]

Example Input: There is a coffee shop named Fitzbillies that serves Indian food in the city centre. It is in the high price range, has a 1 out of 5 customer rating, and is not child friendly.
Example Output: name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[no]

Example Input: Priced at less than £20 The Vaults is a family Friendly place to get Japanese food
Example Output:
name[The Vaults], food[Japanese], priceRange[less than £20], familyFriendly[yes]