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:
Volby nejsou, jak si tehdejší zákonodárci naivně mysleli, sčítání lidu a parlament není fotografie společnosti, kde má být zastoupen každý volič pomocí své strany.
Postion	Tokenization
1	Volby
2	nejsou
3	,
4	jak
5	si
6	tehdejší
7	zákonodárci
8	naivně
9	mysleli
10	,
11	sčítání
12	lidu
13	a
14	parlament
15	není
16	fotografie
17	společnosti
18	,
19	kde
20	má
21	být
22	zastoupen
23	každý
24	volič
25	pomocí
26	své
27	strany
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Volby	NOUN	11	nsubj
2	nejsou	AUX	11	cop
3	,	PUNCT	9	punct
4	jak	ADV	9	advmod
5	si	PRON	9	expl:pv
6	tehdejší	ADJ	7	amod
7	zákonodárci	NOUN	9	nsubj
8	naivně	ADV	9	advmod
9	mysleli	VERB	11	advcl
10	,	PUNCT	9	punct
11	sčítání	NOUN	0	root
12	lidu	NOUN	11	nmod
13	a	CCONJ	16	cc
14	parlament	NOUN	16	nsubj
15	není	AUX	16	cop
16	fotografie	NOUN	11	conj
17	společnosti	NOUN	16	nmod
18	,	PUNCT	20	punct
19	kde	ADV	22	advmod
20	má	VERB	16	acl:relcl
21	být	AUX	22	cop
22	zastoupen	ADJ	20	xcomp
23	každý	DET	24	det
24	volič	NOUN	22	nsubj
25	pomocí	NOUN	27	case
26	své	DET	27	det
27	strany	NOUN	22	obl
28	.	PUNCT	11	punct