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.

[EX Q]: Blue Spice is expensive with a low rating but it is by the river and is kid friendly.
[EX A]: name[Blue Spice], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[yes]

[EX Q]: The Waterman is a French pub located in Riverside. It has an average customer rating.
[EX A]: name[The Waterman], eatType[pub], food[French], customer rating[average], area[riverside]

[EX Q]: A Cheap restaurant with a customer Rating of 5 out of 5 is The Rice Boat, near to the Rainbow Vegetarian Café.
[EX A]:
name[The Rice Boat], priceRange[cheap], customer rating[5 out of 5], near[Rainbow Vegetarian Café]