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:
Především Mozartova hudba má zcela odlišné a řekl bych méně okázalé vlastnosti než třeba party Leonory ze Síly osudu, Tosky nebo Santuzzy, vystavěné na technický i dramatický efekt.
Postion	Tokenization
1	Především
2	Mozartova
3	hudba
4	má
5	zcela
6	odlišné
7	a
8	řekl
9	bych
10	méně
11	okázalé
12	vlastnosti
13	než
14	třeba
15	party
16	Leonory
17	ze
18	Síly
19	osudu
20	,
21	Tosky
22	nebo
23	Santuzzy
24	,
25	vystavěné
26	na
27	technický
28	i
29	dramatický
30	efekt
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Především	ADV	3	advmod:emph
2	Mozartova	ADJ	3	amod
3	hudba	NOUN	4	nsubj
4	má	VERB	0	root
5	zcela	ADV	6	advmod
6	odlišné	ADJ	12	amod
7	a	CCONJ	11	cc
8	řekl	VERB	11	dep
9	bych	AUX	8	aux
10	méně	ADV	11	advmod
11	okázalé	ADJ	6	conj
12	vlastnosti	NOUN	4	obj
13	než	SCONJ	15	mark
14	třeba	ADV	15	advmod:emph
15	party	NOUN	10	advcl
16	Leonory	PROPN	15	nmod
17	ze	ADP	18	case
18	Síly	NOUN	15	nmod
19	osudu	NOUN	18	nmod
20	,	PUNCT	21	punct
21	Tosky	PROPN	18	conj
22	nebo	CCONJ	23	cc
23	Santuzzy	PROPN	18	conj
24	,	PUNCT	25	punct
25	vystavěné	ADJ	15	amod
26	na	ADP	30	case
27	technický	ADJ	30	amod
28	i	CCONJ	29	cc
29	dramatický	ADJ	27	conj
30	efekt	NOUN	25	obl
31	.	PUNCT	4	punct