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:
Výstřelem z pistole ráže 6.35 mm chtěl v noci na pátek před budovou policejního oddělení v Rosicích řešit své finanční problémy 29letý muž z okresu Brno-venkov.
Postion	Tokenization
1	Výstřelem
2	z
3	pistole
4	ráže
5	6.35
6	mm
7	chtěl
8	v
9	noci
10	na
11	pátek
12	před
13	budovou
14	policejního
15	oddělení
16	v
17	Rosicích
18	řešit
19	své
20	finanční
21	problémy
22	29
23	letý
24	muž
25	z
26	okresu
27	Brno
28	-
29	venkov
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Výstřelem	NOUN	18	obl
2	z	ADP	3	case
3	pistole	NOUN	1	nmod
4	ráže	NOUN	3	nmod
5	6.35	NUM	4	nummod
6	mm	NOUN	5	nmod
7	chtěl	VERB	0	root
8	v	ADP	9	case
9	noci	NOUN	7	obl
10	na	ADP	11	case
11	pátek	NOUN	9	nmod
12	před	ADP	13	case
13	budovou	NOUN	7	obl
14	policejního	ADJ	15	amod
15	oddělení	NOUN	13	nmod
16	v	ADP	17	case
17	Rosicích	PROPN	15	nmod
18	řešit	VERB	7	xcomp
19	své	DET	21	det
20	finanční	ADJ	21	amod
21	problémy	NOUN	18	obj
22	29	NUM	23	obl
23	letý	ADJ	24	amod
24	muž	NOUN	7	nsubj
25	z	ADP	26	case
26	okresu	NOUN	24	nmod
27	Brno	PROPN	26	nmod
28	-	PUNCT	29	punct
29	venkov	NOUN	27	nmod
30	.	PUNCT	7	punct