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:
Třicetiletý závodník, který na ZOH v Lillehammeru vyhrál obří i superobří slalom , prohlásil, že se chce věnovat rodině, práci pro sponzory a filmu.
Postion	Tokenization
1	Třicetiletý
2	závodník
3	,
4	který
5	na
6	ZOH
7	v
8	Lillehammeru
9	vyhrál
10	obří
11	i
12	superobří
13	slalom
14	,
15	prohlásil
16	,
17	že
18	se
19	chce
20	věnovat
21	rodině
22	,
23	práci
24	pro
25	sponzory
26	a
27	filmu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Třicetiletý	ADJ	2	amod
2	závodník	NOUN	15	nsubj
3	,	PUNCT	9	punct
4	který	DET	9	nsubj
5	na	ADP	6	case
6	ZOH	NOUN	9	obl
7	v	ADP	8	case
8	Lillehammeru	PROPN	6	nmod
9	vyhrál	VERB	2	acl:relcl
10	obří	ADJ	13	amod
11	i	CCONJ	12	cc
12	superobří	ADJ	10	conj
13	slalom	NOUN	9	obj
14	,	PUNCT	9	punct
15	prohlásil	VERB	0	root
16	,	PUNCT	19	punct
17	že	SCONJ	19	mark
18	se	PRON	20	expl:pv
19	chce	VERB	15	ccomp
20	věnovat	VERB	19	xcomp
21	rodině	NOUN	20	obl:arg
22	,	PUNCT	23	punct
23	práci	NOUN	21	conj
24	pro	ADP	25	case
25	sponzory	NOUN	23	nmod
26	a	CCONJ	27	cc
27	filmu	NOUN	21	conj
28	.	PUNCT	15	punct