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:
Nemá takové množství líbivých scén jako Rusalka, ale ani jako Jakobín nebo Čert a Káča, a více znám je z ní jen zpěv Armidy Za štíhlou gazelou.
Postion	Tokenization
1	Nemá
2	takové
3	množství
4	líbivých
5	scén
6	jako
7	Rusalka
8	,
9	ale
10	ani
11	jako
12	Jakobín
13	nebo
14	Čert
15	a
16	Káča
17	,
18	a
19	více
20	znám
21	je
22	z
23	ní
24	jen
25	zpěv
26	Armidy
27	Za
28	štíhlou
29	gazelou
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Nemá	VERB	0	root
2	takové	DET	3	det
3	množství	NOUN	1	obj
4	líbivých	ADJ	5	amod
5	scén	NOUN	3	nmod
6	jako	SCONJ	7	mark
7	Rusalka	NOUN	2	advcl
8	,	PUNCT	12	punct
9	ale	CCONJ	12	cc
10	ani	CCONJ	12	advmod:emph
11	jako	SCONJ	12	mark
12	Jakobín	NOUN	7	conj
13	nebo	CCONJ	14	cc
14	Čert	NOUN	12	conj
15	a	CCONJ	14	cc
16	Káča	PROPN	14	dep
17	,	PUNCT	20	punct
18	a	CCONJ	20	cc
19	více	ADV	20	advmod
20	znám	ADJ	1	conj
21	je	AUX	20	cop
22	z	ADP	23	case
23	ní	PRON	20	obl
24	jen	PART	25	advmod:emph
25	zpěv	NOUN	20	nsubj
26	Armidy	PROPN	25	nmod
27	Za	ADP	29	case
28	štíhlou	ADJ	29	amod
29	gazelou	NOUN	25	nmod
30	.	PUNCT	1	punct