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: A tak zatímco Křeček odpadl z prvního místa zejména proto, že měl jen jeden doprovodný vůz a nestihl v potřebný okamžik vyměnit pneumatiky, vítěze Blahnu provázely tři vozy a druhého v cíli Valouška dokonce šest.
Position	Tokenization	UPOS	Head	Deprel
1	A	CCONJ	28	cc
2	tak	ADV	28	cc
3	zatímco	SCONJ	5	mark
4	Křeček	PROPN	5	nsubj
5	odpadl	VERB	28	advcl
6	z	ADP	8	case
7	prvního	ADJ	8	amod
8	místa	NOUN	5	obl
9	zejména	ADV	10	advmod:emph
10	proto	ADV	5	advmod
11	,	PUNCT	13	punct
12	že	SCONJ	13	mark
13	měl	VERB	5	advcl
14	jen	PART	15	advmod:emph
15	jeden	NUM	17	nummod
16	doprovodný	ADJ	17	amod
17	vůz	NOUN	13	obj
18	a	CCONJ	19	cc
19	nestihl	VERB	13	conj
20	v	ADP	22	case
21	potřebný	ADJ	22	amod
22	okamžik	NOUN	19	obl
23	vyměnit	VERB	19	xcomp
24	pneumatiky	NOUN	23	obj
25	,	PUNCT	5	punct
26	vítěze	NOUN	28	obj
27	Blahnu	PROPN	26	flat
28	provázely	VERB	0	root
29	tři	NUM	30	nummod
30	vozy	NOUN	28	nsubj
31	_	_	None	_
32	a	CCONJ	35	cc
33	druhého	ADJ	35	amod
34	v	ADP	34	case
35	cíli	NOUN	32	obl
36	Valouška	PROPN	28	conj
37	dokonce	ADV	37	advmod:emph
38	šest	NUM	35	orphan
39	.	PUNCT	28	punct