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:
Vzhledem k trvalé oblibě autorů české dekadence vzbudí pozornost jistě i vzpomínky Jiřího Karáska ze Lvovic (Thyrsus, grant 50 tisíc).
Postion	Tokenization
1	Vzhledem
2	k
3	trvalé
4	oblibě
5	autorů
6	české
7	dekadence
8	vzbudí
9	pozornost
10	jistě
11	i
12	vzpomínky
13	Jiřího
14	Karáska
15	ze
16	Lvovic
17	(
18	Thyrsus
19	,
20	grant
21	50
22	tisíc
23	)
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Vzhledem	ADP	4	case
2	k	ADP	1	fixed
3	trvalé	ADJ	4	amod
4	oblibě	NOUN	8	obl
5	autorů	NOUN	4	nmod
6	české	ADJ	7	amod
7	dekadence	NOUN	5	nmod
8	vzbudí	VERB	0	root
9	pozornost	NOUN	8	obj
10	jistě	ADV	8	advmod
11	i	CCONJ	12	advmod:emph
12	vzpomínky	NOUN	8	nsubj
13	Jiřího	PROPN	14	nmod
14	Karáska	NOUN	12	nmod
15	ze	ADP	16	case
16	Lvovic	PROPN	14	nmod
17	(	PUNCT	12	punct
18	Thyrsus	PROPN	12	dep
19	,	PUNCT	20	punct
20	grant	NOUN	18	conj
21	50	NUM	20	nummod
22	tisíc	NUM	21	compound
23	)	PUNCT	12	punct
24	.	PUNCT	8	punct