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:
Mluvčí maďarského prezidenta novinářům řekl, že Árpád Göncz považuje udělení této ceny za velké uznání a plánuje, že ji v New Yorku osobně převezme.
Postion	Tokenization
1	Mluvčí
2	maďarského
3	prezidenta
4	novinářům
5	řekl
6	,
7	že
8	Árpád
9	Göncz
10	považuje
11	udělení
12	této
13	ceny
14	za
15	velké
16	uznání
17	a
18	plánuje
19	,
20	že
21	ji
22	v
23	New
24	Yorku
25	osobně
26	převezme
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Mluvčí	NOUN	5	nsubj
2	maďarského	ADJ	3	amod
3	prezidenta	NOUN	1	nmod
4	novinářům	NOUN	5	obl:arg
5	řekl	VERB	0	root
6	,	PUNCT	10	punct
7	že	SCONJ	10	mark
8	Árpád	PROPN	10	nsubj
9	Göncz	PROPN	8	flat
10	považuje	VERB	5	ccomp
11	udělení	NOUN	10	obj
12	této	DET	13	det
13	ceny	NOUN	11	nmod
14	za	ADP	16	case
15	velké	ADJ	16	amod
16	uznání	NOUN	10	obl:arg
17	a	CCONJ	18	cc
18	plánuje	VERB	10	conj
19	,	PUNCT	26	punct
20	že	SCONJ	26	mark
21	ji	PRON	26	obj
22	v	ADP	24	case
23	New	ADJ	24	amod
24	Yorku	PROPN	26	obl
25	osobně	ADV	26	advmod
26	převezme	VERB	18	ccomp
27	.	PUNCT	5	punct