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:
Vyzdvihnout lze zejména texty nestora českých historiků středověké architektury Dobroslava Líbala, jenž se výzkumu cisterciáckých klášterů věnuje již více než půl století.
Postion	Tokenization
1	Vyzdvihnout
2	lze
3	zejména
4	texty
5	nestora
6	českých
7	historiků
8	středověké
9	architektury
10	Dobroslava
11	Líbala
12	,
13	jenž
14	se
15	výzkumu
16	cisterciáckých
17	klášterů
18	věnuje
19	již
20	více
21	než
22	půl
23	století
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Vyzdvihnout	VERB	2	csubj
2	lze	VERB	0	root
3	zejména	ADV	4	advmod:emph
4	texty	NOUN	1	obj
5	nestora	NOUN	11	nmod
6	českých	ADJ	7	amod
7	historiků	NOUN	5	nmod
8	středověké	ADJ	9	amod
9	architektury	NOUN	7	nmod
10	Dobroslava	PROPN	11	nmod
11	Líbala	VERB	4	acl
12	,	PUNCT	18	punct
13	jenž	PRON	18	nsubj
14	se	PRON	18	expl:pv
15	výzkumu	NOUN	18	obl:arg
16	cisterciáckých	ADJ	17	amod
17	klášterů	NOUN	15	nmod
18	věnuje	VERB	11	acl:relcl
19	již	ADV	20	advmod:emph
20	více	ADV	18	advmod
21	než	SCONJ	22	mark
22	půl	NOUN	20	obl
23	století	NOUN	20	nmod
24	.	PUNCT	2	punct