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:
Často se objevuje i argument, že naší mezinárodní prestiži takové volby prvního muže (ženy) země neprospívají a parlament by je měl přerušit do doby vyjasnění státoprávních problémů.
Postion	Tokenization
1	Často
2	se
3	objevuje
4	i
5	argument
6	,
7	že
8	naší
9	mezinárodní
10	prestiži
11	takové
12	volby
13	prvního
14	muže
15	(
16	ženy
17	)
18	země
19	neprospívají
20	a
21	parlament
22	by
23	je
24	měl
25	přerušit
26	do
27	doby
28	vyjasnění
29	státoprávních
30	problémů
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Často	ADV	3	advmod
2	se	PRON	3	expl:pv
3	objevuje	VERB	0	root
4	i	CCONJ	5	advmod:emph
5	argument	NOUN	3	nsubj
6	,	PUNCT	19	punct
7	že	SCONJ	19	mark
8	naší	DET	10	det
9	mezinárodní	ADJ	10	amod
10	prestiži	NOUN	19	obl:arg
11	takové	DET	12	det
12	volby	NOUN	19	nsubj
13	prvního	ADJ	14	amod
14	muže	NOUN	12	nmod
15	(	PUNCT	16	punct
16	ženy	NOUN	14	conj
17	)	PUNCT	16	punct
18	země	NOUN	14	nmod
19	neprospívají	VERB	5	acl
20	a	CCONJ	24	cc
21	parlament	NOUN	24	nsubj
22	by	AUX	24	aux
23	je	PRON	25	obj
24	měl	VERB	19	conj
25	přerušit	VERB	24	xcomp
26	do	ADP	27	case
27	doby	NOUN	24	obl
28	vyjasnění	NOUN	27	nmod
29	státoprávních	ADJ	30	amod
30	problémů	NOUN	28	nmod
31	.	PUNCT	3	punct