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:
Úřad práce v Pardubicích k tomuto datu evidoval 1449 nezaměstnaných, z toho 964 žen a 251 osob se změněnou pracovní schopností.
Postion	Tokenization
1	Úřad
2	práce
3	v
4	Pardubicích
5	k
6	tomuto
7	datu
8	evidoval
9	1449
10	nezaměstnaných
11	_
12	,
13	z
14	toho
15	964
16	žen
17	a
18	251
19	osob
20	se
21	změněnou
22	pracovní
23	schopností
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Úřad	NOUN	8	nsubj
2	práce	NOUN	1	nmod
3	v	ADP	4	case
4	Pardubicích	PROPN	1	nmod
5	k	ADP	7	case
6	tomuto	DET	7	det
7	datu	NOUN	8	obl
8	evidoval	VERB	0	root
9	1449	NUM	8	obj
10	nezaměstnaných	ADJ	9	amod
11	_	_	None	_
12	,	PUNCT	13	punct
13	z	ADP	13	case
14	toho	DET	8	conj
15	964	NUM	15	nummod:gov
16	žen	NOUN	13	orphan
17	a	CCONJ	18	cc
18	251	NUM	18	nummod:gov
19	osob	NOUN	15	conj
20	se	ADP	22	case
21	změněnou	ADJ	22	amod
22	pracovní	ADJ	22	amod
23	schopností	NOUN	18	nmod
24	.	PUNCT	8	punct