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: The Waterman is low price  family restaurant with average customer rating.
Example Output: name[The Waterman], food[Japanese], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[yes]

Example Input: Bibimbap House offers French food with expensive price near Clare Hall.
Example Output: name[Bibimbap House], food[French], priceRange[more than £30], area[city centre], near[Clare Hall]

Example Input: The Twenty Two is a city centre pub, near Café Sicilia.  It has an average customer rating.
Example Output:
name[The Twenty Two], eatType[pub], customer rating[average], area[city centre], near[Café Sicilia]