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: Protesty sice působí efektně, ale Brazilce by jistě mnohem více potěšilo, kdyby jim prezident vysvětlil, odkud pocházejí finanční prostředky, s jejichž pomocí udržoval vysoký životní standard pro sebe i svou rodinu.
Position	Tokenization	UPOS	Head	Deprel
1	Protesty	NOUN	3	nsubj
2	sice	ADV	3	cc
3	působí	VERB	0	root
4	efektně	ADV	3	advmod
5	,	PUNCT	12	punct
6	ale	CCONJ	12	cc
7	Brazilce	PROPN	12	obj
8	by	AUX	12	aux
9	jistě	ADV	12	advmod
10	mnohem	ADV	11	advmod
11	více	ADV	12	advmod
12	potěšilo	VERB	3	conj
13	,	PUNCT	18	punct
14	kdyby	_	None	_
15	když	SCONJ	18	mark
16	by	AUX	18	aux
17	jim	PRON	18	obl:arg
18	prezident	NOUN	18	nsubj
19	vysvětlil	VERB	12	csubj
20	,	PUNCT	21	punct
21	odkud	ADV	21	advmod
22	pocházejí	VERB	18	ccomp
23	finanční	ADJ	23	amod
24	prostředky	NOUN	21	nsubj
25	,	PUNCT	28	punct
26	s	ADP	27	case
27	jejichž	DET	27	det
28	pomocí	NOUN	28	obl
29	udržoval	VERB	23	acl:relcl
30	vysoký	ADJ	31	amod
31	životní	ADJ	31	amod
32	standard	NOUN	28	obj
33	pro	ADP	33	case
34	sebe	PRON	31	nmod
35	i	CCONJ	36	cc
36	svou	DET	36	det
37	rodinu	NOUN	33	conj
38	.	PUNCT	3	punct