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:
Ač si americká tenistka Zina Garrisonová přišla na kurtech na víc než čtyři miliony dolarů, svůj zápas 2. kola na US Open málem absolvovala naboso.
Postion	Tokenization
1	Ač
2	si
3	americká
4	tenistka
5	Zina
6	Garrisonová
7	přišla
8	na
9	kurtech
10	na
11	víc
12	než
13	čtyři
14	miliony
15	dolarů
16	,
17	svůj
18	zápas
19	2
20	.
21	kola
22	na
23	US
24	Open
25	málem
26	absolvovala
27	naboso
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ač	SCONJ	7	mark
2	si	PRON	7	expl:pv
3	americká	ADJ	4	amod
4	tenistka	NOUN	7	nsubj
5	Zina	PROPN	4	flat
6	Garrisonová	PROPN	4	flat
7	přišla	VERB	26	advcl
8	na	ADP	9	case
9	kurtech	NOUN	7	obl
10	na	ADP	11	case
11	víc	ADV	7	obl:arg
12	než	SCONJ	14	mark
13	čtyři	NUM	14	nummod
14	miliony	NOUN	11	obl
15	dolarů	NOUN	14	nmod
16	,	PUNCT	7	punct
17	svůj	DET	18	det
18	zápas	NOUN	26	obj
19	2	NUM	21	nummod
20	.	PUNCT	19	punct
21	kola	NOUN	18	nmod
22	na	ADP	23	case
23	US	ADJ	18	amod
24	Open	ADJ	23	flat:foreign
25	málem	ADV	26	advmod
26	absolvovala	VERB	0	root
27	naboso	ADV	26	advmod
28	.	PUNCT	26	punct