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: The Waterman serves Chinese in the high price range, with an average customer rating. It is located in the city center and is children friendly.
Example Output: name[The Waterman], food[Chinese], priceRange[high], customer rating[average], area[city centre], familyFriendly[yes]

Example Input: Kid Friendly Zizzi is a pub with Indian food and a high customer Rating.
Example Output: name[Zizzi], eatType[pub], food[Indian], customer rating[high], familyFriendly[yes]

Example Input: Children friendly coffee shop Taste of Cambridge that serves French food can be found at riverside near Crown Plaza Hotel.
Example Output:
name[Taste of Cambridge], eatType[coffee shop], food[French], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]