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 text: Za příznivější než v jugoslávské Vojvodině označil postavení maďarské menšiny na Slovensku předseda maďarské vlády a vládního Maďarského demokratického fóra (MDF) József Antall v rozhovoru, který je otištěn v posledním čísle amerického týdeníku Newsweek.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	2	case
2	příznivější	ADJ	7	obl:arg
3	než	SCONJ	6	mark
4	v	ADP	6	case
5	jugoslávské	ADJ	6	amod
6	Vojvodině	PROPN	2	dep
7	označil	VERB	0	root
8	postavení	NOUN	7	obj
9	maďarské	ADJ	10	amod
10	menšiny	NOUN	8	nmod
11	na	ADP	12	case
12	Slovensku	PROPN	10	nmod
13	předseda	NOUN	7	nsubj
14	maďarské	ADJ	15	amod
15	vlády	NOUN	13	nmod
16	a	CCONJ	20	cc
17	vládního	ADJ	20	amod
18	Maďarského	ADJ	20	amod
19	demokratického	ADJ	20	amod
20	fóra	NOUN	15	conj
21	(	PUNCT	22	punct
22	MDF	PROPN	20	appos
23	)	PUNCT	22	punct
24	József	PROPN	13	flat
25	Antall	PROPN	13	flat
26	v	ADP	27	case
27	rozhovoru	NOUN	7	obl
28	,	PUNCT	31	punct
29	který	DET	31	nsubj
30	je	AUX	31	cop
31	otištěn	ADJ	27	acl:relcl
32	v	ADP	34	case
33	posledním	ADJ	34	amod
34	čísle	NOUN	31	obl
35	amerického	ADJ	36	amod
36	týdeníku	NOUN	34	nmod
37	Newsweek	PROPN	36	nmod
38	.	PUNCT	7	punct