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 text: Jedenadvacetiletý Polák Tomasz Sikora měl bezchybnou mušku na střelnici a v cíli byl o 34.6 sekundy dříve než Nor Tyldum, což mu vyneslo titul v závodě na 20 km na MS biatlonistů.
Position	Tokenization	UPOS	Head	Deprel
1	Jedenadvacetiletý	ADJ	2	amod
2	Polák	PROPN	5	nsubj
3	Tomasz	PROPN	2	flat
4	Sikora	PROPN	2	flat
5	měl	VERB	0	root
6	bezchybnou	ADJ	7	amod
7	mušku	NOUN	5	obj
8	na	ADP	9	case
9	střelnici	NOUN	5	obl
10	a	CCONJ	13	cc
11	v	ADP	12	case
12	cíli	NOUN	13	obl
13	byl	VERB	5	conj
14	o	ADP	16	case
15	34.6	NUM	16	nummod:gov
16	sekundy	NOUN	17	obl
17	dříve	ADV	13	advmod
18	než	SCONJ	19	mark
19	Nor	PROPN	17	advcl
20	Tyldum	PROPN	19	flat
21	,	PUNCT	24	punct
22	což	PRON	24	nsubj
23	mu	PRON	24	obl:arg
24	vyneslo	VERB	13	conj
25	titul	NOUN	24	obj
26	v	ADP	27	case
27	závodě	NOUN	25	nmod
28	na	ADP	29	case
29	20	NUM	27	nummod
30	km	NOUN	29	nmod
31	na	ADP	32	case
32	MS	NOUN	27	nmod
33	biatlonistů	NOUN	32	nmod
34	.	PUNCT	5	punct