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:
Bývalý poslanec ČNR Vladimír Laštůvka (OH) označil za zavádějící informace o jeho osobě, uvedené v souvislosti s neplacením cla poslanci zákonodárných sborů.
Postion	Tokenization
1	Bývalý
2	poslanec
3	ČNR
4	Vladimír
5	Laštůvka
6	(
7	OH
8	)
9	označil
10	za
11	zavádějící
12	informace
13	o
14	jeho
15	osobě
16	,
17	uvedené
18	v
19	souvislosti
20	s
21	neplacením
22	cla
23	poslanci
24	zákonodárných
25	sborů
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Bývalý	ADJ	2	amod
2	poslanec	NOUN	9	nsubj
3	ČNR	PROPN	2	nmod
4	Vladimír	PROPN	2	flat
5	Laštůvka	PROPN	2	flat
6	(	PUNCT	2	punct
7	OH	PROPN	2	dep
8	)	PUNCT	2	punct
9	označil	VERB	0	root
10	za	ADP	11	case
11	zavádějící	ADJ	9	obl:arg
12	informace	NOUN	9	obj
13	o	ADP	15	case
14	jeho	DET	15	det
15	osobě	NOUN	12	nmod
16	,	PUNCT	17	punct
17	uvedené	ADJ	12	amod
18	v	ADP	21	case
19	souvislosti	NOUN	18	fixed
20	s	ADP	18	fixed
21	neplacením	NOUN	17	obl
22	cla	NOUN	21	nmod
23	poslanci	NOUN	21	nmod
24	zákonodárných	ADJ	25	amod
25	sborů	NOUN	23	nmod
26	.	PUNCT	9	punct