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:
HEREČKA JAROSLAVA POKORNÁ přivítala novináře jako první návštěvníky LABYRINTU - uměleckého centra, v které se promění bývalé Realistické divadlo při divadelní vernisáži 9. ledna 1992.
Postion	Tokenization
1	HEREČKA
2	JAROSLAVA
3	POKORNÁ
4	přivítala
5	novináře
6	jako
7	první
8	návštěvníky
9	LABYRINTU
10	-
11	uměleckého
12	centra
13	,
14	v
15	které
16	se
17	promění
18	bývalé
19	Realistické
20	divadlo
21	při
22	divadelní
23	vernisáži
24	9
25	.
26	ledna
27	1992
28	.
Position	Tokenization	UPOS	Head	Deprel
1	HEREČKA	NOUN	3	nmod
2	JAROSLAVA	PROPN	3	nmod
3	POKORNÁ	ADJ	4	nsubj
4	přivítala	VERB	0	root
5	novináře	NOUN	4	obj
6	jako	SCONJ	8	mark
7	první	ADJ	8	amod
8	návštěvníky	NOUN	5	xcomp
9	LABYRINTU	NOUN	8	nmod
10	-	PUNCT	12	punct
11	uměleckého	ADJ	12	amod
12	centra	NOUN	9	appos
13	,	PUNCT	17	punct
14	v	ADP	15	case
15	které	DET	17	obl:arg
16	se	PRON	17	expl:pass
17	promění	VERB	12	acl:relcl
18	bývalé	ADJ	20	amod
19	Realistické	ADJ	20	amod
20	divadlo	NOUN	17	nsubj:pass
21	při	ADP	23	case
22	divadelní	ADJ	23	amod
23	vernisáži	NOUN	17	obl
24	9	NUM	26	nummod
25	.	PUNCT	24	punct
26	ledna	NOUN	17	obl
27	1992	NUM	26	nummod
28	.	PUNCT	4	punct