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:
Ještě před volbou vyzvala členka jedné z volebních komisí Michaela Freiová (KDS), aby se poslanci volby nezúčastnili, neboť podle jejího přesvědčení znevažuje úřad prezidenta.
Postion	Tokenization
1	Ještě
2	před
3	volbou
4	vyzvala
5	členka
6	jedné
7	z
8	volebních
9	komisí
10	Michaela
11	Freiová
12	(
13	KDS
14	)
15	,
16	aby
17	aby
18	by
19	se
20	poslanci
21	volby
22	nezúčastnili
23	,
24	neboť
25	podle
26	jejího
27	přesvědčení
28	znevažuje
29	úřad
30	prezidenta
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ještě	ADV	3	advmod:emph
2	před	ADP	3	case
3	volbou	NOUN	4	obl
4	vyzvala	VERB	0	root
5	členka	NOUN	4	nsubj
6	jedné	NUM	5	nummod
7	z	ADP	9	case
8	volebních	ADJ	9	amod
9	komisí	NOUN	6	nmod
10	Michaela	PROPN	5	flat
11	Freiová	PROPN	5	flat
12	(	PUNCT	5	punct
13	KDS	PROPN	5	dep
14	)	PUNCT	5	punct
15	,	PUNCT	21	punct
16	aby	_	None	_
17	aby	SCONJ	21	mark
18	by	AUX	21	aux
19	se	PRON	21	expl:pv
20	poslanci	NOUN	21	nsubj
21	volby	NOUN	21	obl:arg
22	nezúčastnili	VERB	4	ccomp
23	,	PUNCT	27	punct
24	neboť	CCONJ	27	cc
25	podle	ADP	26	case
26	jejího	DET	26	det
27	přesvědčení	NOUN	27	obl
28	znevažuje	VERB	21	conj
29	úřad	NOUN	27	obj
30	prezidenta	NOUN	28	nmod
31	.	PUNCT	4	punct