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:
Mluvčí prokuratury se domnívá, že toto oprávnění může být využito i při soudních procesech s pachateli politicky motivovaného násilí v 50. letech, vzhledem k jejich vysokému věku.
Postion	Tokenization
1	Mluvčí
2	prokuratury
3	se
4	domnívá
5	,
6	že
7	toto
8	oprávnění
9	může
10	být
11	využito
12	i
13	při
14	soudních
15	procesech
16	s
17	pachateli
18	politicky
19	motivovaného
20	násilí
21	v
22	50
23	.
24	letech
25	,
26	vzhledem
27	k
28	jejich
29	vysokému
30	věku
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Mluvčí	NOUN	4	nsubj
2	prokuratury	NOUN	1	nmod
3	se	PRON	4	expl:pv
4	domnívá	VERB	0	root
5	,	PUNCT	9	punct
6	že	SCONJ	9	mark
7	toto	DET	8	det
8	oprávnění	NOUN	9	nsubj
9	může	VERB	4	ccomp
10	být	AUX	11	aux:pass
11	využito	ADJ	9	obj
12	i	CCONJ	15	advmod:emph
13	při	ADP	15	case
14	soudních	ADJ	15	amod
15	procesech	NOUN	11	obl
16	s	ADP	17	case
17	pachateli	NOUN	15	nmod
18	politicky	ADV	19	advmod
19	motivovaného	ADJ	20	amod
20	násilí	NOUN	17	nmod
21	v	ADP	24	case
22	50	NUM	24	nummod
23	.	PUNCT	22	punct
24	letech	NOUN	20	nmod
25	,	PUNCT	30	punct
26	vzhledem	ADP	30	case
27	k	ADP	26	fixed
28	jejich	DET	30	det
29	vysokému	ADJ	30	amod
30	věku	NOUN	11	obl
31	.	PUNCT	4	punct