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:
Na vzorku 1617 respondentů průzkum dále zjistil, že 85 procent dotázaných včetně většiny voličů ODS si myslí, že se odbory mají podílet na přípravě důchodového zákona.
Postion	Tokenization
1	Na
2	vzorku
3	1617
4	respondentů
5	průzkum
6	dále
7	zjistil
8	,
9	že
10	85
11	procent
12	dotázaných
13	včetně
14	většiny
15	voličů
16	ODS
17	si
18	myslí
19	,
20	že
21	se
22	odbory
23	mají
24	podílet
25	na
26	přípravě
27	důchodového
28	zákona
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	vzorku	NOUN	7	obl
3	1617	NUM	4	nummod
4	respondentů	NOUN	2	nmod
5	průzkum	NOUN	7	nsubj
6	dále	ADV	7	advmod
7	zjistil	VERB	0	root
8	,	PUNCT	18	punct
9	že	SCONJ	18	mark
10	85	NUM	11	nummod:gov
11	procent	NOUN	18	nsubj
12	dotázaných	ADJ	11	dep
13	včetně	ADP	14	case
14	většiny	NOUN	18	obl
15	voličů	NOUN	14	nmod
16	ODS	PROPN	15	nmod
17	si	PRON	18	expl:pv
18	myslí	VERB	7	ccomp
19	,	PUNCT	23	punct
20	že	SCONJ	23	mark
21	se	PRON	24	expl:pv
22	odbory	NOUN	23	nsubj
23	mají	VERB	18	ccomp
24	podílet	VERB	23	xcomp
25	na	ADP	26	case
26	přípravě	NOUN	24	obl:arg
27	důchodového	ADJ	28	amod
28	zákona	NOUN	26	nmod
29	.	PUNCT	7	punct