As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
I can tell you we were pleasantly surprised -- BT has taste memory and each time back the food was consistently delicious -- same dishes -- were consistent.
Postion	Tokenization
1	I
2	can
3	tell
4	you
5	we
6	were
7	pleasantly
8	surprised
9	--
10	BT
11	has
12	taste
13	memory
14	and
15	each
16	time
17	back
18	the
19	food
20	was
21	consistently
22	delicious
23	--
24	same
25	dishes
26	--
27	were
28	consistent
29	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	can	AUX	3	aux
3	tell	VERB	0	root
4	you	PRON	3	obj
5	we	PRON	8	nsubj:pass
6	were	AUX	8	aux:pass
7	pleasantly	ADV	8	advmod
8	surprised	VERB	3	ccomp
9	--	PUNCT	3	punct
10	BT	PROPN	11	nsubj
11	has	VERB	3	ccomp
12	taste	NOUN	13	compound
13	memory	NOUN	11	obj
14	and	CCONJ	22	cc
15	each	DET	16	det
16	time	NOUN	22	obl:tmod
17	back	ADV	16	advmod
18	the	DET	19	det
19	food	NOUN	22	nsubj
20	was	AUX	22	cop
21	consistently	ADV	22	advmod
22	delicious	ADJ	11	conj
23	--	PUNCT	22	punct
24	same	ADJ	25	amod
25	dishes	NOUN	28	nsubj
26	--	PUNCT	28	punct
27	were	AUX	28	cop
28	consistent	ADJ	22	parataxis
29	.	PUNCT	3	punct