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: 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: Green Man by a riverside near All Bar One is child Friendly serving Japanese food with a high price Range.
Example Output: name[Green Man], food[Japanese], priceRange[high], area[riverside], familyFriendly[yes], near[All Bar One]

Example Input: The Mill is a high-priced coffee shop that offers fast food. It is located near The Sorrento in Riverside.
Example Output:
name[The Mill], eatType[coffee shop], food[Fast food], priceRange[more than £30], area[riverside], near[The Sorrento]