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:
Volební výsledky prvního kola parlamentních voleb zveřejněné ministerstvem vnitra ukazují, že islámští fundamentalisté získali 167 křesel z 206 obvodů, v nichž některý z kandidátů získal nadpoloviční většinu hlasů.
Postion	Tokenization
1	Volební
2	výsledky
3	prvního
4	kola
5	parlamentních
6	voleb
7	zveřejněné
8	ministerstvem
9	vnitra
10	ukazují
11	,
12	že
13	islámští
14	fundamentalisté
15	získali
16	167
17	křesel
18	z
19	206
20	obvodů
21	,
22	v
23	nichž
24	některý
25	z
26	kandidátů
27	získal
28	nadpoloviční
29	většinu
30	hlasů
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Volební	ADJ	2	amod
2	výsledky	NOUN	10	nsubj
3	prvního	ADJ	4	amod
4	kola	NOUN	2	nmod
5	parlamentních	ADJ	6	amod
6	voleb	NOUN	4	nmod
7	zveřejněné	ADJ	2	amod
8	ministerstvem	NOUN	7	obl:arg
9	vnitra	NOUN	8	nmod
10	ukazují	VERB	0	root
11	,	PUNCT	15	punct
12	že	SCONJ	15	mark
13	islámští	ADJ	14	amod
14	fundamentalisté	NOUN	15	nsubj
15	získali	VERB	10	ccomp
16	167	NUM	17	nummod:gov
17	křesel	NOUN	15	obj
18	z	ADP	20	case
19	206	NUM	20	nummod
20	obvodů	NOUN	17	nmod
21	,	PUNCT	27	punct
22	v	ADP	23	case
23	nichž	PRON	27	obl
24	některý	DET	27	nsubj
25	z	ADP	26	case
26	kandidátů	NOUN	24	nmod
27	získal	VERB	20	acl:relcl
28	nadpoloviční	ADJ	29	amod
29	většinu	NOUN	27	obj
30	hlasů	NOUN	29	nmod
31	.	PUNCT	10	punct