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:
Tereza Čakrtová, vedoucí oddělení sociální prevence z ministerstva práce a sociálních věcí (MPSV) se však domnívá, že jejich prestiž se bude i u nás zvyšovat.
Postion	Tokenization
1	Tereza
2	Čakrtová
3	,
4	vedoucí
5	oddělení
6	sociální
7	prevence
8	z
9	ministerstva
10	práce
11	a
12	sociálních
13	věcí
14	(
15	MPSV
16	)
17	se
18	však
19	domnívá
20	,
21	že
22	jejich
23	prestiž
24	se
25	bude
26	i
27	u
28	nás
29	zvyšovat
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Tereza	PROPN	19	nsubj
2	Čakrtová	PROPN	1	flat
3	,	PUNCT	4	punct
4	vedoucí	NOUN	1	appos
5	oddělení	NOUN	4	nmod
6	sociální	ADJ	7	amod
7	prevence	NOUN	5	nmod
8	z	ADP	9	case
9	ministerstva	NOUN	4	nmod
10	práce	NOUN	9	nmod
11	a	CCONJ	13	cc
12	sociálních	ADJ	13	amod
13	věcí	NOUN	10	conj
14	(	PUNCT	15	punct
15	MPSV	PROPN	9	appos
16	)	PUNCT	15	punct
17	se	PRON	19	expl:pv
18	však	CCONJ	19	cc
19	domnívá	VERB	0	root
20	,	PUNCT	29	punct
21	že	SCONJ	29	mark
22	jejich	DET	23	det
23	prestiž	NOUN	29	nsubj
24	se	PRON	29	expl:pv
25	bude	AUX	29	aux
26	i	CCONJ	28	advmod:emph
27	u	ADP	28	case
28	nás	PRON	29	obl
29	zvyšovat	VERB	19	ccomp
30	.	PUNCT	19	punct