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:
Absolventi uměleckoprůmyslové školy Zdeněk Stropek a Michal Beneš se s technikou tetování poprvé setkali v Americe a v Holandsku, v UZI působí necelé tři roky.
Postion	Tokenization
1	Absolventi
2	uměleckoprůmyslové
3	školy
4	Zdeněk
5	Stropek
6	a
7	Michal
8	Beneš
9	se
10	s
11	technikou
12	tetování
13	poprvé
14	setkali
15	v
16	Americe
17	a
18	v
19	Holandsku
20	,
21	v
22	UZI
23	působí
24	necelé
25	tři
26	roky
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Absolventi	NOUN	4	nmod
2	uměleckoprůmyslové	ADJ	3	amod
3	školy	NOUN	1	nmod
4	Zdeněk	PROPN	14	nsubj
5	Stropek	PROPN	4	flat
6	a	CCONJ	7	cc
7	Michal	PROPN	4	conj
8	Beneš	PROPN	7	flat
9	se	PRON	14	expl:pv
10	s	ADP	11	case
11	technikou	NOUN	14	obl:arg
12	tetování	NOUN	11	nmod
13	poprvé	ADV	14	obl
14	setkali	VERB	0	root
15	v	ADP	16	case
16	Americe	PROPN	14	obl
17	a	CCONJ	19	cc
18	v	ADP	19	case
19	Holandsku	PROPN	16	conj
20	,	PUNCT	23	punct
21	v	ADP	22	case
22	UZI	PROPN	23	obl
23	působí	VERB	14	conj
24	necelé	ADJ	26	amod
25	tři	NUM	26	nummod
26	roky	NOUN	23	obl
27	.	PUNCT	14	punct