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:
Protože se podle policistů Wonka trestnímu stíhání vyhýbal, policie ho v pondělí zadržela a okresní soud v Semilech na něj uvalil vazbu.
Postion	Tokenization
1	Protože
2	se
3	podle
4	policistů
5	Wonka
6	trestnímu
7	stíhání
8	vyhýbal
9	,
10	policie
11	ho
12	v
13	pondělí
14	zadržela
15	a
16	okresní
17	soud
18	v
19	Semilech
20	na
21	něj
22	uvalil
23	vazbu
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Protože	SCONJ	8	mark
2	se	PRON	8	expl:pv
3	podle	ADP	4	case
4	policistů	NOUN	8	obl
5	Wonka	PROPN	8	nsubj
6	trestnímu	ADJ	7	amod
7	stíhání	NOUN	8	obl:arg
8	vyhýbal	VERB	14	advcl
9	,	PUNCT	8	punct
10	policie	NOUN	14	nsubj
11	ho	PRON	14	obj
12	v	ADP	13	case
13	pondělí	NOUN	14	obl
14	zadržela	VERB	0	root
15	a	CCONJ	22	cc
16	okresní	ADJ	17	amod
17	soud	NOUN	22	nsubj
18	v	ADP	19	case
19	Semilech	PROPN	17	nmod
20	na	ADP	21	case
21	něj	PRON	22	obl
22	uvalil	VERB	14	conj
23	vazbu	NOUN	22	obj
24	.	PUNCT	14	punct