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 regularly request Kim's business cards as I am often stopped on the street and asked "Who does your hair...I LOVE it!!!"
Postion	Tokenization
1	I
2	regularly
3	request
4	Kim's
5	Kim
6	's
7	business
8	cards
9	as
10	I
11	am
12	often
13	stopped
14	on
15	the
16	street
17	and
18	asked
19	"
20	Who
21	does
22	your
23	hair
24	...
25	I
26	LOVE
27	it
28	!!!
29	"
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	regularly	ADV	3	advmod
3	request	VERB	0	root
4	Kim's	_	None	_
5	Kim	PROPN	7	nmod:poss
6	's	PART	4	case
7	business	NOUN	7	compound
8	cards	NOUN	3	obj
9	as	SCONJ	12	mark
10	I	PRON	12	nsubj:pass
11	am	AUX	12	aux:pass
12	often	ADV	12	advmod
13	stopped	VERB	3	advcl
14	on	ADP	15	case
15	the	DET	15	det
16	street	NOUN	12	obl
17	and	CCONJ	17	cc
18	asked	VERB	12	conj
19	"	PUNCT	17	punct
20	Who	PRON	20	nsubj
21	does	VERB	17	ccomp
22	your	PRON	22	nmod:poss
23	hair	NOUN	20	obj
24	...	PUNCT	25	punct
25	I	PRON	25	nsubj
26	LOVE	VERB	20	parataxis
27	it	PRON	25	obj
28	!!!	PUNCT	3	punct
29	"	PUNCT	3	punct