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: V Maďarsku je počet úmrtí v důsledku srdečních a cévních chorob větší než v kterékoliv jiné průmyslové zemi, alkoholismus se stal lidovou chorobou a počet sebevražd se řadí mezi největší v Evropě.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	Maďarsku	PROPN	12	obl
3	je	AUX	12	cop
4	počet	NOUN	12	nsubj
5	úmrtí	NOUN	4	nmod
6	v	ADP	11	case
7	důsledku	NOUN	6	fixed
8	srdečních	ADJ	11	amod
9	a	CCONJ	10	cc
10	cévních	ADJ	8	conj
11	chorob	NOUN	12	obl
12	větší	ADJ	0	root
13	než	SCONJ	18	mark
14	v	ADP	18	case
15	kterékoliv	DET	18	det
16	jiné	ADJ	18	amod
17	průmyslové	ADJ	18	amod
18	zemi	NOUN	12	dep
19	,	PUNCT	22	punct
20	alkoholismus	NOUN	22	nsubj
21	se	PRON	22	expl:pv
22	stal	VERB	12	conj
23	lidovou	ADJ	24	amod
24	chorobou	NOUN	22	obl:arg
25	a	CCONJ	29	cc
26	počet	NOUN	29	nsubj:pass
27	sebevražd	NOUN	26	nmod
28	se	PRON	29	expl:pass
29	řadí	VERB	12	conj
30	mezi	ADP	31	case
31	největší	ADJ	29	obl
32	v	ADP	33	case
33	Evropě	PROPN	31	obl
34	.	PUNCT	12	punct