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:
Ten do titulní role chytré lišky obsadil po hlasové stránce ideální Magdalénu Hajóssyovou, lišáka zpívá rovněž skvěle disponovaná Gabriela Beňačková-Čápová, revírníka osvědčený Richard Novák.
Postion	Tokenization
1	Ten
2	do
3	titulní
4	role
5	chytré
6	lišky
7	obsadil
8	po
9	hlasové
10	stránce
11	ideální
12	Magdalénu
13	Hajóssyovou
14	,
15	lišáka
16	zpívá
17	rovněž
18	skvěle
19	disponovaná
20	Gabriela
21	Beňačková
22	-
23	Čápová
24	_
25	,
26	revírníka
27	osvědčený
28	Richard
29	Novák
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Ten	DET	7	nsubj
2	do	ADP	4	case
3	titulní	ADJ	4	amod
4	role	NOUN	7	obl
5	chytré	ADJ	6	amod
6	lišky	NOUN	4	nmod
7	obsadil	VERB	0	root
8	po	ADP	10	case
9	hlasové	ADJ	10	amod
10	stránce	NOUN	11	obl
11	ideální	ADJ	12	amod
12	Magdalénu	PROPN	7	obj
13	Hajóssyovou	PROPN	12	flat
14	,	PUNCT	16	punct
15	lišáka	NOUN	16	obj
16	zpívá	VERB	7	conj
17	rovněž	ADV	18	advmod
18	skvěle	ADV	19	advmod
19	disponovaná	ADJ	20	amod
20	Gabriela	PROPN	16	nsubj
21	Beňačková	PROPN	20	flat
22	-	PUNCT	23	punct
23	Čápová	PROPN	20	flat
24	_	_	None	_
25	,	PUNCT	25	punct
26	revírníka	NOUN	16	conj
27	osvědčený	ADJ	27	amod
28	Richard	PROPN	25	orphan
29	Novák	PROPN	27	flat
30	.	PUNCT	7	punct