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:
Česká tenistka vedla ve druhé a třetí sadě vždy 3:0, poprvé měla Němka dvakrát příležitost vyrovnat, ale nevyužila ji, ve druhém případě tak učinila.
Postion	Tokenization
1	Česká
2	tenistka
3	vedla
4	ve
5	druhé
6	a
7	třetí
8	sadě
9	vždy
10	3
11	:
12	0
13	,
14	poprvé
15	měla
16	Němka
17	dvakrát
18	příležitost
19	vyrovnat
20	,
21	ale
22	nevyužila
23	ji
24	,
25	ve
26	druhém
27	případě
28	tak
29	učinila
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Česká	ADJ	2	amod
2	tenistka	NOUN	3	nsubj
3	vedla	VERB	0	root
4	ve	ADP	8	case
5	druhé	ADJ	8	amod
6	a	CCONJ	7	cc
7	třetí	ADJ	5	conj
8	sadě	NOUN	3	obl
9	vždy	ADV	3	advmod
10	3	NUM	3	obl
11	:	PUNCT	12	punct
12	0	NUM	10	conj
13	,	PUNCT	3	punct
14	poprvé	ADV	15	obl
15	měla	VERB	3	parataxis
16	Němka	PROPN	15	nsubj
17	dvakrát	ADV	15	iobj
18	příležitost	NOUN	15	obj
19	vyrovnat	VERB	18	acl
20	,	PUNCT	22	punct
21	ale	CCONJ	22	cc
22	nevyužila	VERB	15	conj
23	ji	PRON	22	obj
24	,	PUNCT	29	punct
25	ve	ADP	27	case
26	druhém	ADJ	27	amod
27	případě	NOUN	29	obl
28	tak	ADV	29	advmod
29	učinila	VERB	15	conj
30	.	PUNCT	3	punct