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:
HUDBA: Slovenský tenorista Peter Dvorský se v pondělí večer stal první ze světových hvězd, po jejichž přítomnosti touží probouzející se Teplice, někdejší salon Evropy.
Postion	Tokenization
1	HUDBA
2	:
3	Slovenský
4	tenorista
5	Peter
6	Dvorský
7	se
8	v
9	pondělí
10	večer
11	stal
12	první
13	ze
14	světových
15	hvězd
16	,
17	po
18	jejichž
19	přítomnosti
20	touží
21	probouzející
22	se
23	Teplice
24	,
25	někdejší
26	salon
27	Evropy
28	.
Position	Tokenization	UPOS	Head	Deprel
1	HUDBA	NOUN	0	root
2	:	PUNCT	11	punct
3	Slovenský	ADJ	4	amod
4	tenorista	NOUN	11	nsubj
5	Peter	PROPN	4	flat
6	Dvorský	PROPN	4	flat
7	se	PRON	11	expl:pv
8	v	ADP	9	case
9	pondělí	NOUN	11	obl
10	večer	ADV	11	advmod
11	stal	VERB	1	appos
12	první	ADJ	11	obl:arg
13	ze	ADP	15	case
14	světových	ADJ	15	amod
15	hvězd	NOUN	12	nmod
16	,	PUNCT	20	punct
17	po	ADP	19	case
18	jejichž	DET	19	det
19	přítomnosti	NOUN	20	obl:arg
20	touží	VERB	15	acl:relcl
21	probouzející	ADJ	23	amod
22	se	PRON	21	expl:pv
23	Teplice	PROPN	20	nsubj
24	,	PUNCT	26	punct
25	někdejší	ADJ	26	amod
26	salon	NOUN	23	appos
27	Evropy	PROPN	26	nmod
28	.	PUNCT	1	punct