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 highly recommend Debi, she does an amazing job, I "love" the way she cuts my hair, extremely thorough and cross checks her work to make sure my hair is perfect.
Postion	Tokenization
1	I
2	highly
3	recommend
4	Debi
5	,
6	she
7	does
8	an
9	amazing
10	job
11	,
12	I
13	"
14	love
15	"
16	the
17	way
18	she
19	cuts
20	my
21	hair
22	,
23	extremely
24	thorough
25	and
26	cross
27	checks
28	her
29	work
30	to
31	make
32	sure
33	my
34	hair
35	is
36	perfect
37	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	highly	ADV	3	advmod
3	recommend	VERB	0	root
4	Debi	PROPN	3	obj
5	,	PUNCT	3	punct
6	she	PRON	7	nsubj
7	does	VERB	3	parataxis
8	an	DET	10	det
9	amazing	ADJ	10	amod
10	job	NOUN	7	obj
11	,	PUNCT	3	punct
12	I	PRON	14	nsubj
13	"	PUNCT	14	punct
14	love	VERB	3	parataxis
15	"	PUNCT	14	punct
16	the	DET	17	det
17	way	NOUN	14	obj
18	she	PRON	19	nsubj
19	cuts	VERB	17	acl:relcl
20	my	PRON	21	nmod:poss
21	hair	NOUN	19	obj
22	,	PUNCT	3	punct
23	extremely	ADV	24	advmod
24	thorough	ADJ	3	parataxis
25	and	CCONJ	27	cc
26	cross	VERB	27	advmod
27	checks	VERB	24	conj
28	her	PRON	29	nmod:poss
29	work	NOUN	27	obj
30	to	PART	31	mark
31	make	VERB	27	advcl
32	sure	ADJ	31	xcomp
33	my	PRON	34	nmod:poss
34	hair	NOUN	36	nsubj
35	is	AUX	36	cop
36	perfect	ADJ	32	ccomp
37	.	PUNCT	3	punct