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.

Ex Input:
Alimentum is an Indian restaurant that is moderately priced. It is kid friendly and in the city centre.

Ex Output:
name[Alimentum], food[Indian], priceRange[moderate], area[city centre], familyFriendly[yes]


Ex Input:
The Browns Cambridge is a Chinese restaurant in the high price range. The customer rating is average.

Ex Output:
name[Browns Cambridge], food[Chinese], priceRange[high], customer rating[average]


Ex Input:
The Green Man offers Italian food at a medium price range suitable for families. It is situated near All Bar One.

Ex Output:

name[Green Man], food[Italian], priceRange[moderate], area[riverside], familyFriendly[yes], near[All Bar One]