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:
Zároveň však většina dotázaných (83 procent) souhlasí s vládním návrhem na prodloužení věkové hranice odchodu do důchodu, což je jeden z bodů odbory nejvíce kritizovaných.
Postion	Tokenization
1	Zároveň
2	však
3	většina
4	dotázaných
5	(
6	83
7	procent
8	)
9	souhlasí
10	s
11	vládním
12	návrhem
13	na
14	prodloužení
15	věkové
16	hranice
17	odchodu
18	do
19	důchodu
20	,
21	což
22	je
23	jeden
24	z
25	bodů
26	odbory
27	nejvíce
28	kritizovaných
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Zároveň	ADV	9	advmod
2	však	CCONJ	9	cc
3	většina	NOUN	9	nsubj
4	dotázaných	ADJ	3	dep
5	(	PUNCT	6	punct
6	83	NUM	7	nummod:gov
7	procent	NOUN	3	appos
8	)	PUNCT	3	punct
9	souhlasí	VERB	0	root
10	s	ADP	12	case
11	vládním	ADJ	12	amod
12	návrhem	NOUN	9	obl:arg
13	na	ADP	14	case
14	prodloužení	NOUN	12	nmod
15	věkové	ADJ	16	amod
16	hranice	NOUN	14	nmod
17	odchodu	NOUN	16	nmod
18	do	ADP	19	case
19	důchodu	NOUN	17	nmod
20	,	PUNCT	23	punct
21	což	PRON	23	nsubj
22	je	AUX	23	cop
23	jeden	NUM	9	conj
24	z	ADP	25	case
25	bodů	NOUN	23	nmod
26	odbory	NOUN	28	obl:arg
27	nejvíce	ADV	28	advmod
28	kritizovaných	ADJ	25	amod
29	.	PUNCT	9	punct