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: In the city centre you will find a moderately priced Fast food coffee shop called The Eagle. It is located near Burger King, is not kid friendly and has a customer rating of 1 out of 5.
Example Output: name[The Eagle], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Burger King]

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: The Phoenix serves Indian food in the high price range with an average customer review.  It is located in the city centre.
Example Output:
name[The Phoenix], food[Indian], priceRange[high], customer rating[average], area[city centre]