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.

Input: Consider Input: The Cambridge Blue is a pub that is low priced that offers wine, cheese, and grapes, and is located next to Café Brazil.

Output: name[The Cambridge Blue], eatType[pub], food[French], priceRange[less than £20], near[Café Brazil]


Input: Consider Input: The Waterman is low price  family restaurant with average customer rating.

Output: name[The Waterman], food[Japanese], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[yes]


Input: Consider Input: Strada is a English restaurant located near Rainbow Vegetarian Café with a high price range and a average customer rating and is not children friendly.


Output: name[Strada], food[English], priceRange[high], customer rating[average], familyFriendly[no], near[Rainbow Vegetarian Café]