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:
Místopředsedové Pavel Bratinka, Daniel Kroupa a Libor Kudláček včera LN shodně sdělili, že jsou odhodláni v Hradci plně podpořit současného předsedu.
Postion	Tokenization
1	Místopředsedové
2	Pavel
3	Bratinka
4	,
5	Daniel
6	Kroupa
7	a
8	Libor
9	Kudláček
10	včera
11	LN
12	shodně
13	sdělili
14	,
15	že
16	jsou
17	odhodláni
18	v
19	Hradci
20	plně
21	podpořit
22	současného
23	předsedu
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Místopředsedové	NOUN	2	nmod
2	Pavel	PROPN	13	nsubj
3	Bratinka	PROPN	2	flat
4	,	PUNCT	5	punct
5	Daniel	PROPN	2	conj
6	Kroupa	PROPN	5	flat
7	a	CCONJ	8	cc
8	Libor	PROPN	2	conj
9	Kudláček	PROPN	8	flat
10	včera	ADV	13	advmod
11	LN	PROPN	13	iobj
12	shodně	ADV	13	advmod
13	sdělili	VERB	0	root
14	,	PUNCT	17	punct
15	že	SCONJ	17	mark
16	jsou	AUX	17	cop
17	odhodláni	ADJ	13	ccomp
18	v	ADP	19	case
19	Hradci	PROPN	21	obl
20	plně	ADV	21	advmod
21	podpořit	VERB	17	csubj:pass
22	současného	ADJ	23	amod
23	předsedu	NOUN	21	obj
24	.	PUNCT	13	punct