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:
Důvody, které Vrchní soud v Praze ke zrušení rozsudku vedly, Vočka nesdělil s tím, že s odůvodněním rozhodnutí se nejdříve musejí seznámit zúčastněné strany.
Postion	Tokenization
1	Důvody
2	,
3	které
4	Vrchní
5	soud
6	v
7	Praze
8	ke
9	zrušení
10	rozsudku
11	vedly
12	,
13	Vočka
14	nesdělil
15	s
16	tím
17	,
18	že
19	s
20	odůvodněním
21	rozhodnutí
22	se
23	nejdříve
24	musejí
25	seznámit
26	zúčastněné
27	strany
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Důvody	NOUN	14	obj
2	,	PUNCT	11	punct
3	které	DET	11	nsubj
4	Vrchní	ADJ	5	amod
5	soud	NOUN	11	obj
6	v	ADP	7	case
7	Praze	PROPN	5	nmod
8	ke	ADP	9	case
9	zrušení	NOUN	11	obl
10	rozsudku	NOUN	9	nmod
11	vedly	VERB	1	acl:relcl
12	,	PUNCT	11	punct
13	Vočka	PROPN	14	nsubj
14	nesdělil	VERB	0	root
15	s	ADP	16	case
16	tím	DET	14	obl
17	,	PUNCT	24	punct
18	že	SCONJ	24	mark
19	s	ADP	20	case
20	odůvodněním	NOUN	25	obl:arg
21	rozhodnutí	NOUN	20	nmod
22	se	PRON	25	expl:pv
23	nejdříve	ADV	25	advmod
24	musejí	VERB	16	acl
25	seznámit	VERB	24	xcomp
26	zúčastněné	ADJ	27	amod
27	strany	NOUN	24	nsubj
28	.	PUNCT	14	punct