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: Located on the riverside near All Bar One, Green Man is a French venue that costs more than £30 and is not child friendly.
Example Output: name[Green Man], food[French], priceRange[more than £30], area[riverside], familyFriendly[no], near[All Bar One]

Example Input: Zizzi is a pub that serves French food.  It is family friendly and has an average customer rating.
Example Output:
name[Zizzi], eatType[pub], food[French], customer rating[average], familyFriendly[yes]

