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 text: Ministr vnitra Larbí Belchír včera oznámil, že podle dosud známých výsledků z 386 volebních obvodů bylo v prvním kole voleb rozděleno 206 poslaneckých mandátů mezi kandidáty, kteří získali nadpoloviční většinu hlasů.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	6	nsubj
2	vnitra	NOUN	1	nmod
3	Larbí	PROPN	1	flat
4	Belchír	PROPN	1	flat
5	včera	ADV	6	advmod
6	oznámil	VERB	0	root
7	,	PUNCT	22	punct
8	že	SCONJ	22	mark
9	podle	ADP	12	case
10	dosud	ADV	11	advmod
11	známých	ADJ	12	amod
12	výsledků	NOUN	22	obl
13	z	ADP	16	case
14	386	NUM	16	nummod
15	volebních	ADJ	16	amod
16	obvodů	NOUN	12	nmod
17	bylo	AUX	22	cop
18	v	ADP	20	case
19	prvním	ADJ	20	amod
20	kole	NOUN	22	obl
21	voleb	NOUN	20	nmod
22	rozděleno	ADJ	6	ccomp
23	206	NUM	25	nummod:gov
24	poslaneckých	ADJ	25	amod
25	mandátů	NOUN	22	nsubj
26	mezi	ADP	27	case
27	kandidáty	NOUN	22	obl
28	,	PUNCT	30	punct
29	kteří	DET	30	nsubj
30	získali	VERB	27	acl:relcl
31	nadpoloviční	ADJ	32	amod
32	většinu	NOUN	30	obj
33	hlasů	NOUN	32	nmod
34	.	PUNCT	6	punct