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:
Nedělní vystoupení JOSÉ CARRERASE a MONTSERRAT CABALLÉOVÉ v pražském Rudolfinu (na rozdíl od večera Plácida Dominga ve Sportovní hale) tuto potřebu skutečně naplnilo.
Postion	Tokenization
1	Nedělní
2	vystoupení
3	JOSÉ
4	CARRERASE
5	a
6	MONTSERRAT
7	CABALLÉOVÉ
8	v
9	pražském
10	Rudolfinu
11	(
12	na
13	rozdíl
14	od
15	večera
16	Plácida
17	Dominga
18	ve
19	Sportovní
20	hale
21	)
22	tuto
23	potřebu
24	skutečně
25	naplnilo
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Nedělní	ADJ	2	amod
2	vystoupení	NOUN	25	nsubj
3	JOSÉ	PROPN	2	nmod
4	CARRERASE	PROPN	3	flat
5	a	CCONJ	7	cc
6	MONTSERRAT	PROPN	7	nmod
7	CABALLÉOVÉ	PROPN	3	conj
8	v	ADP	10	case
9	pražském	ADJ	10	amod
10	Rudolfinu	PROPN	2	nmod
11	(	PUNCT	15	punct
12	na	ADP	15	case
13	rozdíl	NOUN	12	fixed
14	od	ADP	12	fixed
15	večera	NOUN	25	obl
16	Plácida	PROPN	15	nmod
17	Dominga	PROPN	16	flat
18	ve	ADP	20	case
19	Sportovní	ADJ	20	amod
20	hale	NOUN	15	nmod
21	)	PUNCT	15	punct
22	tuto	DET	23	det
23	potřebu	NOUN	25	obj
24	skutečně	ADV	25	advmod
25	naplnilo	VERB	0	root
26	.	PUNCT	25	punct