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:
T. Čakrtová oceňuje v prevenci kriminality jako kvalitativní změnu, že kurátor navazuje dnes již běžně kontakt s budoucími propuštěnci ještě ve věznici.
Postion	Tokenization
1	T
2	.
3	Čakrtová
4	oceňuje
5	v
6	prevenci
7	kriminality
8	jako
9	kvalitativní
10	změnu
11	,
12	že
13	kurátor
14	navazuje
15	dnes
16	již
17	běžně
18	kontakt
19	s
20	budoucími
21	propuštěnci
22	ještě
23	ve
24	věznici
25	.
Position	Tokenization	UPOS	Head	Deprel
1	T	PROPN	4	nsubj
2	.	PUNCT	1	punct
3	Čakrtová	PROPN	1	flat
4	oceňuje	VERB	0	root
5	v	ADP	6	case
6	prevenci	NOUN	4	obl
7	kriminality	NOUN	6	nmod
8	jako	SCONJ	10	mark
9	kvalitativní	ADJ	10	amod
10	změnu	NOUN	14	xcomp
11	,	PUNCT	14	punct
12	že	SCONJ	14	mark
13	kurátor	NOUN	14	nsubj
14	navazuje	VERB	4	ccomp
15	dnes	ADV	14	advmod
16	již	ADV	17	advmod
17	běžně	ADV	14	advmod
18	kontakt	NOUN	14	iobj
19	s	ADP	21	case
20	budoucími	ADJ	21	amod
21	propuštěnci	NOUN	18	nmod
22	ještě	ADV	24	advmod:emph
23	ve	ADP	24	case
24	věznici	NOUN	14	obl
25	.	PUNCT	4	punct