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:
Činnost velkých muzeí, divadel, galerií a dalších významných kulturních institucí je u nás dotována maximálně z pětaosmdesáti procent, uvedl Schreiber.
Postion	Tokenization
1	Činnost
2	velkých
3	muzeí
4	,
5	divadel
6	,
7	galerií
8	a
9	dalších
10	významných
11	kulturních
12	institucí
13	je
14	u
15	nás
16	dotována
17	maximálně
18	z
19	pětaosmdesáti
20	procent
21	,
22	uvedl
23	Schreiber
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Činnost	NOUN	16	nsubj:pass
2	velkých	ADJ	3	amod
3	muzeí	NOUN	1	nmod
4	,	PUNCT	5	punct
5	divadel	NOUN	3	conj
6	,	PUNCT	7	punct
7	galerií	NOUN	3	conj
8	a	CCONJ	12	cc
9	dalších	ADJ	12	amod
10	významných	ADJ	12	amod
11	kulturních	ADJ	12	amod
12	institucí	NOUN	3	conj
13	je	AUX	16	aux:pass
14	u	ADP	15	case
15	nás	PRON	16	obl
16	dotována	ADJ	22	obj
17	maximálně	ADV	20	advmod:emph
18	z	ADP	20	case
19	pětaosmdesáti	NUM	20	nummod
20	procent	NOUN	16	obl
21	,	PUNCT	16	punct
22	uvedl	VERB	0	root
23	Schreiber	PROPN	22	nsubj
24	.	PUNCT	22	punct