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:
Co se týká aktuálních problémů, Jindřich Kabát vyjádřil rozhořčení nad rozhodnutím některých obecních úřadů zařadit do dalšího kola privatizace knihovny a galérie.
Postion	Tokenization
1	Co
2	se
3	týká
4	aktuálních
5	problémů
6	,
7	Jindřich
8	Kabát
9	vyjádřil
10	rozhořčení
11	nad
12	rozhodnutím
13	některých
14	obecních
15	úřadů
16	zařadit
17	do
18	dalšího
19	kola
20	privatizace
21	knihovny
22	a
23	galérie
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Co	PRON	3	nsubj
2	se	PRON	3	expl:pv
3	týká	VERB	9	advcl
4	aktuálních	ADJ	5	amod
5	problémů	NOUN	3	obl:arg
6	,	PUNCT	3	punct
7	Jindřich	PROPN	9	nsubj
8	Kabát	PROPN	7	flat
9	vyjádřil	VERB	0	root
10	rozhořčení	NOUN	9	obj
11	nad	ADP	12	case
12	rozhodnutím	NOUN	10	nmod
13	některých	DET	15	det
14	obecních	ADJ	15	amod
15	úřadů	NOUN	12	nmod
16	zařadit	VERB	12	acl
17	do	ADP	19	case
18	dalšího	ADJ	19	amod
19	kola	NOUN	16	obl
20	privatizace	NOUN	19	nmod
21	knihovny	NOUN	16	obj
22	a	CCONJ	23	cc
23	galérie	NOUN	21	conj
24	.	PUNCT	9	punct