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:
Pro trestné činy vraždy, porušování dopravní svobody, krádeže a neoprávněného užívání cizí věci stanul včera před Krajským soudem v Plzni devatenáctiletý Jindřich S. z Holýšova na Domažlicku.
Postion	Tokenization
1	Pro
2	trestné
3	činy
4	vraždy
5	,
6	porušování
7	dopravní
8	svobody
9	,
10	krádeže
11	a
12	neoprávněného
13	užívání
14	cizí
15	věci
16	stanul
17	včera
18	před
19	Krajským
20	soudem
21	v
22	Plzni
23	devatenáctiletý
24	Jindřich
25	S
26	.
27	z
28	Holýšova
29	na
30	Domažlicku
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Pro	ADP	3	case
2	trestné	ADJ	3	amod
3	činy	NOUN	16	obl
4	vraždy	NOUN	3	nmod
5	,	PUNCT	6	punct
6	porušování	NOUN	4	conj
7	dopravní	ADJ	8	amod
8	svobody	NOUN	6	nmod
9	,	PUNCT	10	punct
10	krádeže	NOUN	4	conj
11	a	CCONJ	13	cc
12	neoprávněného	ADJ	13	amod
13	užívání	NOUN	4	conj
14	cizí	ADJ	15	amod
15	věci	NOUN	13	nmod
16	stanul	VERB	0	root
17	včera	ADV	16	advmod
18	před	ADP	20	case
19	Krajským	ADJ	20	amod
20	soudem	NOUN	16	obl
21	v	ADP	22	case
22	Plzni	PROPN	20	nmod
23	devatenáctiletý	ADJ	24	amod
24	Jindřich	PROPN	16	nsubj
25	S	PROPN	24	flat
26	.	PUNCT	24	punct
27	z	ADP	28	case
28	Holýšova	PROPN	24	nmod
29	na	ADP	30	case
30	Domažlicku	PROPN	28	nmod
31	.	PUNCT	16	punct