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: Bylo by také zajímavé znát, zda výrobci alkoholických nápojů a tabákových výrobků "sponzorovali" politické strany a které, nebo zda přízeň reklamních agentur v předvolebním boji není pro někoho důležitější než zdraví populace.
Position	Tokenization	UPOS	Head	Deprel
1	Bylo	AUX	4	cop
2	by	AUX	4	aux
3	také	ADV	4	advmod
4	zajímavé	ADJ	0	root
5	znát	VERB	4	csubj
6	,	PUNCT	15	punct
7	zda	SCONJ	15	mark
8	výrobci	NOUN	15	nsubj
9	alkoholických	ADJ	10	amod
10	nápojů	NOUN	8	nmod
11	a	CCONJ	13	cc
12	tabákových	ADJ	13	amod
13	výrobků	NOUN	10	conj
14	"	PUNCT	15	punct
15	sponzorovali	VERB	5	ccomp
16	"	PUNCT	15	punct
17	politické	ADJ	18	amod
18	strany	NOUN	15	obj
19	a	CCONJ	20	cc
20	které	DET	15	conj
21	,	PUNCT	33	punct
22	nebo	CCONJ	33	cc
23	zda	SCONJ	33	mark
24	přízeň	NOUN	33	nsubj
25	reklamních	ADJ	26	amod
26	agentur	NOUN	24	nmod
27	v	ADP	29	case
28	předvolebním	ADJ	29	amod
29	boji	NOUN	26	nmod
30	není	AUX	33	cop
31	pro	ADP	32	case
32	někoho	PRON	33	obl
33	důležitější	ADJ	15	conj
34	než	SCONJ	35	mark
35	zdraví	NOUN	33	advcl
36	populace	NOUN	35	nmod
37	.	PUNCT	4	punct