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:
VÝSTAVY: Po přehuštěných Ohniscích znovuzrození rozzářily se vyčištěné prostory Galerie hlavního města Prahy v Městské knihovně vzdušnou expozicí objektů JINDŘICHA ZEITHAMMLA (1949).
Postion	Tokenization
1	VÝSTAVY
2	:
3	Po
4	přehuštěných
5	Ohniscích
6	znovuzrození
7	rozzářily
8	se
9	vyčištěné
10	prostory
11	Galerie
12	hlavního
13	města
14	Prahy
15	v
16	Městské
17	knihovně
18	vzdušnou
19	expozicí
20	objektů
21	JINDŘICHA
22	ZEITHAMMLA
23	(
24	1949
25	)
26	.
Position	Tokenization	UPOS	Head	Deprel
1	VÝSTAVY	NOUN	0	root
2	:	PUNCT	7	punct
3	Po	ADP	5	case
4	přehuštěných	ADJ	5	amod
5	Ohniscích	NOUN	7	obl
6	znovuzrození	NOUN	5	nmod
7	rozzářily	VERB	1	appos
8	se	PRON	7	expl:pv
9	vyčištěné	ADJ	10	amod
10	prostory	NOUN	7	nsubj
11	Galerie	NOUN	10	nmod
12	hlavního	ADJ	13	amod
13	města	NOUN	11	nmod
14	Prahy	PROPN	13	nmod
15	v	ADP	17	case
16	Městské	ADJ	17	amod
17	knihovně	NOUN	11	nmod
18	vzdušnou	ADJ	19	amod
19	expozicí	NOUN	7	obl
20	objektů	NOUN	19	nmod
21	JINDŘICHA	PROPN	20	nmod
22	ZEITHAMMLA	PROPN	21	flat
23	(	PUNCT	21	punct
24	1949	NUM	21	dep
25	)	PUNCT	21	punct
26	.	PUNCT	1	punct