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 text: Shrnutě: že se zde Urbanová dostává mimo svůj vlastní obor, jimiž jsou verdiovské a veristické heroiny, že v Mozartovi nemá možnost tak dramaticky svůj hlas rozvinout a že zeštíhlováním její fond ztrácí na kvalitě.
Position	Tokenization	UPOS	Head	Deprel
1	Shrnutě	ADV	0	root
2	:	PUNCT	7	punct
3	že	SCONJ	7	mark
4	se	PRON	7	expl:pv
5	zde	ADV	7	advmod
6	Urbanová	PROPN	7	nsubj
7	dostává	VERB	1	appos
8	mimo	ADP	11	case
9	svůj	DET	11	det
10	vlastní	ADJ	11	amod
11	obor	NOUN	7	obl
12	,	PUNCT	13	punct
13	jimiž	PRON	11	acl:relcl
14	jsou	AUX	13	cop
15	verdiovské	ADJ	18	amod
16	a	CCONJ	17	cc
17	veristické	ADJ	15	conj
18	heroiny	NOUN	13	nsubj
19	,	PUNCT	23	punct
20	že	SCONJ	23	mark
21	v	ADP	22	case
22	Mozartovi	PROPN	23	obl
23	nemá	VERB	7	conj
24	možnost	NOUN	23	obj
25	tak	ADV	26	advmod
26	dramaticky	ADV	29	advmod
27	svůj	DET	28	det
28	hlas	NOUN	29	obj
29	rozvinout	VERB	24	acl
30	a	CCONJ	35	cc
31	že	SCONJ	35	mark
32	zeštíhlováním	NOUN	35	obl
33	její	DET	34	det
34	fond	NOUN	35	nsubj
35	ztrácí	VERB	7	conj
36	na	ADP	37	case
37	kvalitě	NOUN	35	obl:arg
38	.	PUNCT	1	punct