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:
Generální ředitel ČT Ivo Mathé v otevřeném dopise požadoval zveřejnění opravy některých údajů, které se objevily 20. února ve zpravodajství televize Nova po tiskové konferenci ČT.
Postion	Tokenization
1	Generální
2	ředitel
3	ČT
4	Ivo
5	Mathé
6	v
7	otevřeném
8	dopise
9	požadoval
10	zveřejnění
11	opravy
12	některých
13	údajů
14	,
15	které
16	se
17	objevily
18	20
19	.
20	února
21	ve
22	zpravodajství
23	televize
24	Nova
25	po
26	tiskové
27	konferenci
28	ČT
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Generální	ADJ	2	amod
2	ředitel	NOUN	9	nsubj
3	ČT	PROPN	2	nmod
4	Ivo	PROPN	2	flat
5	Mathé	PROPN	2	flat
6	v	ADP	8	case
7	otevřeném	ADJ	8	amod
8	dopise	NOUN	9	obl
9	požadoval	VERB	0	root
10	zveřejnění	NOUN	9	obj
11	opravy	NOUN	10	nmod
12	některých	DET	13	det
13	údajů	NOUN	11	nmod
14	,	PUNCT	17	punct
15	které	DET	17	nsubj
16	se	PRON	17	expl:pv
17	objevily	VERB	13	acl:relcl
18	20	NUM	20	nummod
19	.	PUNCT	18	punct
20	února	NOUN	17	obl
21	ve	ADP	22	case
22	zpravodajství	NOUN	17	obl
23	televize	NOUN	22	nmod
24	Nova	PROPN	23	nmod
25	po	ADP	27	case
26	tiskové	ADJ	27	amod
27	konferenci	NOUN	17	obl
28	ČT	PROPN	27	nmod
29	.	PUNCT	9	punct