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:
Vyjádřil přesvědčení, že nový parlament bude pokračovat v budování přátelských vztahů s parlamenty sousedních zemí a pokusí se odstranit nedorozumění a sporné body zejména s Maďarskou republikou.
Postion	Tokenization
1	Vyjádřil
2	přesvědčení
3	,
4	že
5	nový
6	parlament
7	bude
8	pokračovat
9	v
10	budování
11	přátelských
12	vztahů
13	s
14	parlamenty
15	sousedních
16	zemí
17	a
18	pokusí
19	se
20	odstranit
21	nedorozumění
22	a
23	sporné
24	body
25	zejména
26	s
27	Maďarskou
28	republikou
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Vyjádřil	VERB	0	root
2	přesvědčení	NOUN	1	obj
3	,	PUNCT	8	punct
4	že	SCONJ	8	mark
5	nový	ADJ	6	amod
6	parlament	NOUN	8	nsubj
7	bude	AUX	8	aux
8	pokračovat	VERB	2	acl
9	v	ADP	10	case
10	budování	NOUN	8	obl:arg
11	přátelských	ADJ	12	amod
12	vztahů	NOUN	10	nmod
13	s	ADP	14	case
14	parlamenty	NOUN	12	nmod
15	sousedních	ADJ	16	amod
16	zemí	NOUN	14	nmod
17	a	CCONJ	18	cc
18	pokusí	VERB	8	conj
19	se	PRON	18	expl:pv
20	odstranit	VERB	18	xcomp
21	nedorozumění	NOUN	20	obj
22	a	CCONJ	24	cc
23	sporné	ADJ	24	amod
24	body	NOUN	21	conj
25	zejména	ADV	28	advmod:emph
26	s	ADP	28	case
27	Maďarskou	ADJ	28	amod
28	republikou	NOUN	21	nmod
29	.	PUNCT	1	punct