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:
Dvaadvacetiletý Richard Beránek, který byl v minulosti několikrát trestán pro násilnou trestnou činnost, je 170-175 cm vysoký, zavalitější postavy a má krátké tmavší vlasy.
Postion	Tokenization
1	Dvaadvacetiletý
2	Richard
3	Beránek
4	,
5	který
6	byl
7	v
8	minulosti
9	několikrát
10	trestán
11	pro
12	násilnou
13	trestnou
14	činnost
15	,
16	je
17	170
18	-
19	175
20	cm
21	vysoký
22	,
23	zavalitější
24	postavy
25	a
26	má
27	krátké
28	tmavší
29	vlasy
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Dvaadvacetiletý	ADJ	2	amod
2	Richard	PROPN	21	nsubj
3	Beránek	PROPN	2	flat
4	,	PUNCT	10	punct
5	který	DET	10	nsubj:pass
6	byl	AUX	10	aux:pass
7	v	ADP	8	case
8	minulosti	NOUN	10	obl
9	několikrát	ADV	10	obl
10	trestán	ADJ	2	amod
11	pro	ADP	14	case
12	násilnou	ADJ	14	amod
13	trestnou	ADJ	14	amod
14	činnost	NOUN	10	obl
15	,	PUNCT	10	punct
16	je	AUX	21	cop
17	170	NUM	21	obl
18	-	PUNCT	19	punct
19	175	NUM	17	conj
20	cm	NOUN	17	nmod
21	vysoký	ADJ	0	root
22	,	PUNCT	24	punct
23	zavalitější	ADJ	24	amod
24	postavy	NOUN	21	conj
25	a	CCONJ	26	cc
26	má	VERB	21	conj
27	krátké	ADJ	29	amod
28	tmavší	ADJ	29	amod
29	vlasy	NOUN	26	obj
30	.	PUNCT	21	punct