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:
"Protestuji, aby se o tak složité právní záležitosti referovalo bez bližší znalosti věci, protože se tím zveřejňují zavádějící informace, které poškozují dobré jméno společnosti.
Postion	Tokenization
1	"
2	Protestuji
3	,
4	aby
5	aby
6	by
7	se
8	o
9	tak
10	složité
11	právní
12	záležitosti
13	referovalo
14	bez
15	bližší
16	znalosti
17	věci
18	,
19	protože
20	se
21	tím
22	zveřejňují
23	zavádějící
24	informace
25	,
26	které
27	poškozují
28	dobré
29	jméno
30	společnosti
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Protestuji	VERB	0	root
3	,	PUNCT	12	punct
4	aby	_	None	_
5	aby	SCONJ	12	mark
6	by	AUX	12	aux
7	se	PRON	12	expl:pass
8	o	ADP	11	case
9	tak	ADV	9	advmod
10	složité	ADJ	11	amod
11	právní	ADJ	11	amod
12	záležitosti	NOUN	12	obl:arg
13	referovalo	VERB	2	ccomp
14	bez	ADP	15	case
15	bližší	ADJ	15	amod
16	znalosti	NOUN	12	obl
17	věci	NOUN	15	nmod
18	,	PUNCT	21	punct
19	protože	SCONJ	21	mark
20	se	PRON	21	expl:pass
21	tím	DET	21	obl
22	zveřejňují	VERB	2	advcl
23	zavádějící	ADJ	23	amod
24	informace	NOUN	21	nsubj:pass
25	,	PUNCT	26	punct
26	které	DET	26	nsubj
27	poškozují	VERB	23	acl:relcl
28	dobré	ADJ	28	amod
29	jméno	NOUN	26	obj
30	společnosti	NOUN	28	nmod
31	.	PUNCT	2	punct