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:
Svěžím hlasem vládnoucí sopranistka, která zůstala bohužel v anonymitě, přispěla k dobrému, neakademickému dojmu i svou interpretací českých duchovních písní.
Postion	Tokenization
1	Svěžím
2	hlasem
3	vládnoucí
4	sopranistka
5	,
6	která
7	zůstala
8	bohužel
9	v
10	anonymitě
11	,
12	přispěla
13	k
14	dobrému
15	,
16	neakademickému
17	dojmu
18	i
19	svou
20	interpretací
21	českých
22	duchovních
23	písní
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Svěžím	ADJ	2	amod
2	hlasem	NOUN	3	obl:arg
3	vládnoucí	ADJ	4	amod
4	sopranistka	NOUN	12	nsubj
5	,	PUNCT	7	punct
6	která	DET	7	nsubj
7	zůstala	VERB	4	acl:relcl
8	bohužel	PART	7	advmod
9	v	ADP	10	case
10	anonymitě	NOUN	7	obl
11	,	PUNCT	7	punct
12	přispěla	VERB	0	root
13	k	ADP	17	case
14	dobrému	ADJ	17	amod
15	,	PUNCT	16	punct
16	neakademickému	ADJ	14	conj
17	dojmu	NOUN	12	obl:arg
18	i	CCONJ	20	advmod:emph
19	svou	DET	20	det
20	interpretací	NOUN	12	obl
21	českých	ADJ	23	amod
22	duchovních	ADJ	23	amod
23	písní	NOUN	20	nmod
24	.	PUNCT	12	punct