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:
Nový pěvecký recitál sopranistky EVY URBANOVÉ byl pojmenován VADO MA DOVE? podle jedné z pěti koncertních árií W. A. Mozarta, které tvoří páteř desky.
Postion	Tokenization
1	Nový
2	pěvecký
3	recitál
4	sopranistky
5	EVY
6	URBANOVÉ
7	byl
8	pojmenován
9	VADO
10	MA
11	DOVE
12	?
13	podle
14	jedné
15	z
16	pěti
17	koncertních
18	árií
19	W
20	.
21	A
22	.
23	Mozarta
24	,
25	které
26	tvoří
27	páteř
28	desky
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Nový	ADJ	3	amod
2	pěvecký	ADJ	3	amod
3	recitál	NOUN	8	nsubj:pass
4	sopranistky	NOUN	3	nmod
5	EVY	PROPN	4	nmod
6	URBANOVÉ	PROPN	5	flat
7	byl	AUX	8	aux:pass
8	pojmenován	ADJ	0	root
9	VADO	VERB	8	xcomp
10	MA	CCONJ	9	flat:foreign
11	DOVE	ADV	9	flat:foreign
12	?	PUNCT	9	punct
13	podle	ADP	14	case
14	jedné	NUM	8	obl
15	z	ADP	18	case
16	pěti	NUM	18	nummod
17	koncertních	ADJ	18	amod
18	árií	NOUN	14	nmod
19	W	PROPN	18	nmod
20	.	PUNCT	19	punct
21	A	PROPN	19	flat
22	.	PUNCT	21	punct
23	Mozarta	PROPN	19	flat
24	,	PUNCT	26	punct
25	které	DET	26	nsubj
26	tvoří	VERB	18	acl:relcl
27	páteř	NOUN	26	obj
28	desky	NOUN	27	nmod
29	.	PUNCT	8	punct