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: Alimentum is an Indian restaurant that is moderately priced. It is kid friendly and in the city centre.
Example Output: name[Alimentum], food[Indian], priceRange[moderate], area[city centre], familyFriendly[yes]

Example Input: A coffee shop that serves French food and highly rated is Browns Cambridge. It is not family-friendly, but it is by the riverside near Crowne Plaza Hotel.
Example Output: name[Browns Cambridge], eatType[coffee shop], food[French], customer rating[5 out of 5], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]

Example Input: Near The Portland Arms is a kid friendly pub that serves English food named The Dumpling Tree.
Example Output:
name[The Dumpling Tree], eatType[pub], food[English], familyFriendly[yes], near[The Portland Arms]