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:
Na mizivou pozornost svým kritickým zjištěním o dostavbě jaderné elektrárny v Temelíně upozornil včera na tiskové konferenci Hnutí Duha poslanec P. Seifer (LSU).
Postion	Tokenization
1	Na
2	mizivou
3	pozornost
4	svým
5	kritickým
6	zjištěním
7	o
8	dostavbě
9	jaderné
10	elektrárny
11	v
12	Temelíně
13	upozornil
14	včera
15	na
16	tiskové
17	konferenci
18	Hnutí
19	Duha
20	poslanec
21	P
22	.
23	Seifer
24	(
25	LSU
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	mizivou	ADJ	3	amod
3	pozornost	NOUN	13	obl:arg
4	svým	DET	6	det
5	kritickým	ADJ	6	amod
6	zjištěním	NOUN	13	obl
7	o	ADP	8	case
8	dostavbě	NOUN	6	nmod
9	jaderné	ADJ	10	amod
10	elektrárny	NOUN	8	nmod
11	v	ADP	12	case
12	Temelíně	PROPN	10	nmod
13	upozornil	VERB	0	root
14	včera	ADV	13	advmod
15	na	ADP	17	case
16	tiskové	ADJ	17	amod
17	konferenci	NOUN	13	obl
18	Hnutí	NOUN	17	nmod
19	Duha	NOUN	18	nmod
20	poslanec	NOUN	13	nsubj
21	P	PROPN	20	flat
22	.	PUNCT	21	punct
23	Seifer	PROPN	20	flat
24	(	PUNCT	20	punct
25	LSU	PROPN	20	dep
26	)	PUNCT	20	punct
27	.	PUNCT	13	punct