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:
Ukazuje se, že nemístný konzervatismus vládne především ve velkých bývalých státních podnicích, které se brání novým materiálům i pracovním postupům.
Postion	Tokenization
1	Ukazuje
2	se
3	,
4	že
5	nemístný
6	konzervatismus
7	vládne
8	především
9	ve
10	velkých
11	bývalých
12	státních
13	podnicích
14	,
15	které
16	se
17	brání
18	novým
19	materiálům
20	i
21	pracovním
22	postupům
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Ukazuje	VERB	0	root
2	se	PRON	1	expl:pass
3	,	PUNCT	7	punct
4	že	SCONJ	7	mark
5	nemístný	ADJ	6	amod
6	konzervatismus	NOUN	7	nsubj
7	vládne	VERB	1	csubj:pass
8	především	ADV	13	advmod:emph
9	ve	ADP	13	case
10	velkých	ADJ	13	amod
11	bývalých	ADJ	13	amod
12	státních	ADJ	13	amod
13	podnicích	NOUN	7	obl
14	,	PUNCT	17	punct
15	které	DET	17	nsubj
16	se	PRON	17	expl:pv
17	brání	VERB	13	acl:relcl
18	novým	ADJ	19	amod
19	materiálům	NOUN	17	obl:arg
20	i	CCONJ	22	cc
21	pracovním	ADJ	22	amod
22	postupům	NOUN	19	conj
23	.	PUNCT	1	punct