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:
Vyznají se v řadě řemeslných prací a není pro ně žádný problém sednout na válec, na traktor nebo na cokoli a hned s tím bezproblémově jedou, říká P. Brůžek.
Postion	Tokenization
1	Vyznají
2	se
3	v
4	řadě
5	řemeslných
6	prací
7	a
8	není
9	pro
10	ně
11	žádný
12	problém
13	sednout
14	na
15	válec
16	,
17	na
18	traktor
19	nebo
20	na
21	cokoli
22	a
23	hned
24	s
25	tím
26	bezproblémově
27	jedou
28	,
29	říká
30	P
31	.
32	Brůžek
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Vyznají	VERB	29	ccomp
2	se	PRON	1	expl:pv
3	v	ADP	4	case
4	řadě	NOUN	1	obl
5	řemeslných	ADJ	6	amod
6	prací	NOUN	4	nmod
7	a	CCONJ	12	cc
8	není	AUX	12	cop
9	pro	ADP	10	case
10	ně	PRON	12	obl
11	žádný	DET	12	det
12	problém	NOUN	1	conj
13	sednout	VERB	12	csubj
14	na	ADP	15	case
15	válec	NOUN	13	obl
16	,	PUNCT	18	punct
17	na	ADP	18	case
18	traktor	NOUN	15	conj
19	nebo	CCONJ	21	cc
20	na	ADP	21	case
21	cokoli	PRON	15	conj
22	a	CCONJ	27	cc
23	hned	ADV	27	advmod
24	s	ADP	25	case
25	tím	DET	27	obl
26	bezproblémově	ADV	27	advmod
27	jedou	VERB	12	conj
28	,	PUNCT	1	punct
29	říká	VERB	0	root
30	P	PROPN	29	nsubj
31	.	PUNCT	30	punct
32	Brůžek	PROPN	30	flat
33	.	PUNCT	29	punct