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:
Právě tato exportní branka vynesla Horákovi za českou stranu cenu pro nejlepšího hráče zápasu, kterou mu předal asi nejslavnější zlínský rodák Tomáš Baťa.
Postion	Tokenization
1	Právě
2	tato
3	exportní
4	branka
5	vynesla
6	Horákovi
7	za
8	českou
9	stranu
10	cenu
11	pro
12	nejlepšího
13	hráče
14	zápasu
15	,
16	kterou
17	mu
18	předal
19	asi
20	nejslavnější
21	zlínský
22	rodák
23	Tomáš
24	Baťa
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Právě	ADV	4	advmod:emph
2	tato	DET	4	det
3	exportní	ADJ	4	amod
4	branka	NOUN	5	nsubj
5	vynesla	VERB	0	root
6	Horákovi	PROPN	5	obl
7	za	ADP	9	case
8	českou	ADJ	9	amod
9	stranu	NOUN	5	obl
10	cenu	NOUN	5	obj
11	pro	ADP	13	case
12	nejlepšího	ADJ	13	amod
13	hráče	NOUN	10	nmod
14	zápasu	NOUN	13	nmod
15	,	PUNCT	18	punct
16	kterou	DET	18	obj
17	mu	PRON	18	obl:arg
18	předal	VERB	13	acl:relcl
19	asi	PART	22	advmod:emph
20	nejslavnější	ADJ	22	amod
21	zlínský	ADJ	22	amod
22	rodák	NOUN	18	nsubj
23	Tomáš	PROPN	22	flat
24	Baťa	PROPN	22	flat
25	.	PUNCT	5	punct