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:
Maďarský prezident Árpád Göncz včera jmenoval Lajose Bokrose ministrem financí, Tamáse Suchmana ministrem bez portfeje, který bude odpovídat za privatizaci, a Györgye Surányiho předsedou Maďarské národní banky.
Postion	Tokenization
1	Maďarský
2	prezident
3	Árpád
4	Göncz
5	včera
6	jmenoval
7	Lajose
8	Bokrose
9	ministrem
10	financí
11	_
12	,
13	Tamáse
14	Suchmana
15	ministrem
16	bez
17	portfeje
18	,
19	který
20	bude
21	odpovídat
22	za
23	privatizaci
24	,
25	a
26	Györgye
27	Surányiho
28	předsedou
29	Maďarské
30	národní
31	banky
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Maďarský	ADJ	2	amod
2	prezident	NOUN	6	nsubj
3	Árpád	PROPN	2	flat
4	Göncz	PROPN	2	flat
5	včera	ADV	6	advmod
6	jmenoval	VERB	0	root
7	Lajose	PROPN	6	obj
8	Bokrose	PROPN	7	flat
9	ministrem	NOUN	6	obl:arg
10	financí	NOUN	9	nmod
11	_	_	None	_
12	,	PUNCT	12	punct
13	Tamáse	PROPN	6	conj
14	Suchmana	PROPN	12	flat
15	ministrem	NOUN	12	orphan
16	bez	ADP	16	case
17	portfeje	NOUN	14	nmod
18	,	PUNCT	20	punct
19	který	DET	20	nsubj
20	bude	AUX	20	aux
21	odpovídat	VERB	14	acl:relcl
22	za	ADP	22	case
23	privatizaci	NOUN	20	obl:arg
24	,	PUNCT	12	punct
25	a	CCONJ	12	cc
26	Györgye	PROPN	12	orphan
27	Surányiho	PROPN	25	flat
28	předsedou	NOUN	12	orphan
29	Maďarské	ADJ	30	amod
30	národní	ADJ	30	amod
31	banky	NOUN	27	nmod
32	.	PUNCT	6	punct