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:
Soud s Petrem S. obžalovaným z trestného činu vraždy Filipa Venclíka byl včera odročen senátem Městského soudu v Praze, protože se k výslechům nedostavili tři svědci z pěti.
Postion	Tokenization
1	Soud
2	s
3	Petrem
4	S
5	.
6	obžalovaným
7	z
8	trestného
9	činu
10	vraždy
11	Filipa
12	Venclíka
13	byl
14	včera
15	odročen
16	senátem
17	Městského
18	soudu
19	v
20	Praze
21	,
22	protože
23	se
24	k
25	výslechům
26	nedostavili
27	tři
28	svědci
29	z
30	pěti
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Soud	NOUN	15	nsubj:pass
2	s	ADP	3	case
3	Petrem	PROPN	1	nmod
4	S	PROPN	3	flat
5	.	PUNCT	3	punct
6	obžalovaným	ADJ	3	amod
7	z	ADP	9	case
8	trestného	ADJ	9	amod
9	činu	NOUN	6	obl:arg
10	vraždy	NOUN	9	nmod
11	Filipa	PROPN	10	nmod
12	Venclíka	PROPN	11	flat
13	byl	AUX	15	aux:pass
14	včera	ADV	15	advmod
15	odročen	ADJ	0	root
16	senátem	NOUN	15	obl:arg
17	Městského	ADJ	18	amod
18	soudu	NOUN	16	nmod
19	v	ADP	20	case
20	Praze	PROPN	18	nmod
21	,	PUNCT	26	punct
22	protože	SCONJ	26	mark
23	se	PRON	26	expl:pv
24	k	ADP	25	case
25	výslechům	NOUN	26	obl
26	nedostavili	VERB	15	advcl
27	tři	NUM	28	nummod
28	svědci	NOUN	26	nsubj
29	z	ADP	30	case
30	pěti	NUM	27	compound
31	.	PUNCT	15	punct