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:
Na dva muže, kteří se vloupali do automobilu Audi a pak nastoupili do vozu Škoda Favorit, upozornil v pátek v noci v Praze strážníky nejmenovaný muž.
Postion	Tokenization
1	Na
2	dva
3	muže
4	,
5	kteří
6	se
7	vloupali
8	do
9	automobilu
10	Audi
11	a
12	pak
13	nastoupili
14	do
15	vozu
16	Škoda
17	Favorit
18	,
19	upozornil
20	v
21	pátek
22	v
23	noci
24	v
25	Praze
26	strážníky
27	nejmenovaný
28	muž
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	dva	NUM	3	nummod
3	muže	NOUN	19	obl:arg
4	,	PUNCT	7	punct
5	kteří	DET	7	nsubj
6	se	PRON	7	expl:pv
7	vloupali	VERB	3	acl:relcl
8	do	ADP	9	case
9	automobilu	NOUN	7	obl
10	Audi	PROPN	9	nmod
11	a	CCONJ	13	cc
12	pak	ADV	13	advmod
13	nastoupili	VERB	7	conj
14	do	ADP	15	case
15	vozu	NOUN	13	obl
16	Škoda	PROPN	15	nmod
17	Favorit	PROPN	16	nmod
18	,	PUNCT	7	punct
19	upozornil	VERB	0	root
20	v	ADP	21	case
21	pátek	NOUN	19	obl
22	v	ADP	23	case
23	noci	NOUN	19	obl
24	v	ADP	25	case
25	Praze	PROPN	19	obl
26	strážníky	NOUN	19	obj
27	nejmenovaný	ADJ	28	amod
28	muž	NOUN	19	nsubj
29	.	PUNCT	19	punct