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:
Kriminalita výrazně neklesla přesto, že věznice jsou přeplněné (stav jedinců ve vazbě a ve výkonu trestu se blíží stavu za minulého režimu).
Postion	Tokenization
1	Kriminalita
2	výrazně
3	neklesla
4	přesto
5	,
6	že
7	věznice
8	jsou
9	přeplněné
10	(
11	stav
12	jedinců
13	ve
14	vazbě
15	a
16	ve
17	výkonu
18	trestu
19	se
20	blíží
21	stavu
22	za
23	minulého
24	režimu
25	)
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Kriminalita	NOUN	3	nsubj
2	výrazně	ADV	3	advmod
3	neklesla	VERB	0	root
4	přesto	ADV	3	advmod
5	,	PUNCT	9	punct
6	že	SCONJ	9	mark
7	věznice	NOUN	9	nsubj
8	jsou	AUX	9	cop
9	přeplněné	ADJ	3	advcl
10	(	PUNCT	20	punct
11	stav	NOUN	20	nsubj
12	jedinců	NOUN	11	nmod
13	ve	ADP	14	case
14	vazbě	NOUN	12	nmod
15	a	CCONJ	17	cc
16	ve	ADP	17	case
17	výkonu	NOUN	14	conj
18	trestu	NOUN	17	nmod
19	se	PRON	20	expl:pv
20	blíží	VERB	9	parataxis
21	stavu	NOUN	20	obl:arg
22	za	ADP	24	case
23	minulého	ADJ	24	amod
24	režimu	NOUN	21	nmod
25	)	PUNCT	20	punct
26	.	PUNCT	3	punct