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:
Okresní úřad vyšetřování ve Zlíně se nadále zabývá případem útoku na veřejného činitele, jehož se měl dopustit František Čuba spolu s dalšími třemi zaměstnanci firmy.
Postion	Tokenization
1	Okresní
2	úřad
3	vyšetřování
4	ve
5	Zlíně
6	se
7	nadále
8	zabývá
9	případem
10	útoku
11	na
12	veřejného
13	činitele
14	,
15	jehož
16	se
17	měl
18	dopustit
19	František
20	Čuba
21	spolu
22	s
23	dalšími
24	třemi
25	zaměstnanci
26	firmy
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Okresní	ADJ	2	amod
2	úřad	NOUN	8	nsubj
3	vyšetřování	NOUN	2	nmod
4	ve	ADP	5	case
5	Zlíně	PROPN	2	nmod
6	se	PRON	8	expl:pv
7	nadále	ADV	8	advmod
8	zabývá	VERB	0	root
9	případem	NOUN	8	obl:arg
10	útoku	NOUN	9	nmod
11	na	ADP	13	case
12	veřejného	ADJ	13	amod
13	činitele	NOUN	10	nmod
14	,	PUNCT	17	punct
15	jehož	PRON	18	obl:arg
16	se	PRON	18	expl:pv
17	měl	VERB	10	acl:relcl
18	dopustit	VERB	17	xcomp
19	František	PROPN	17	nsubj
20	Čuba	PROPN	19	flat
21	spolu	ADV	25	case
22	s	ADP	21	fixed
23	dalšími	ADJ	25	amod
24	třemi	NUM	25	nummod
25	zaměstnanci	NOUN	17	obl
26	firmy	NOUN	25	nmod
27	.	PUNCT	8	punct