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:
Tématicky se týkají základních osobních údajů, praxe a vzdělání, předpokladů pro výkon manažerské funkce, důvodů změny zaměstnání, osobních a pracovních vlastností.
Postion	Tokenization
1	Tématicky
2	se
3	týkají
4	základních
5	osobních
6	údajů
7	,
8	praxe
9	a
10	vzdělání
11	,
12	předpokladů
13	pro
14	výkon
15	manažerské
16	funkce
17	,
18	důvodů
19	změny
20	zaměstnání
21	,
22	osobních
23	a
24	pracovních
25	vlastností
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Tématicky	ADV	3	advmod
2	se	PRON	3	expl:pv
3	týkají	VERB	0	root
4	základních	ADJ	6	amod
5	osobních	ADJ	6	amod
6	údajů	NOUN	3	obl:arg
7	,	PUNCT	8	punct
8	praxe	NOUN	6	conj
9	a	CCONJ	10	cc
10	vzdělání	NOUN	8	conj
11	,	PUNCT	12	punct
12	předpokladů	NOUN	6	conj
13	pro	ADP	14	case
14	výkon	NOUN	12	nmod
15	manažerské	ADJ	16	amod
16	funkce	NOUN	14	nmod
17	,	PUNCT	18	punct
18	důvodů	NOUN	6	conj
19	změny	NOUN	18	nmod
20	zaměstnání	NOUN	19	nmod
21	,	PUNCT	25	punct
22	osobních	ADJ	25	amod
23	a	CCONJ	24	cc
24	pracovních	ADJ	22	conj
25	vlastností	NOUN	6	conj
26	.	PUNCT	3	punct