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:
Značně kritický pohled veřejnosti na vládu a parlament je podle autorů únorového šetření Střediska empirických výzkumů odrazem série afér, na něž veřejnost citlivě reaguje.
Postion	Tokenization
1	Značně
2	kritický
3	pohled
4	veřejnosti
5	na
6	vládu
7	a
8	parlament
9	je
10	podle
11	autorů
12	únorového
13	šetření
14	Střediska
15	empirických
16	výzkumů
17	odrazem
18	série
19	afér
20	,
21	na
22	něž
23	veřejnost
24	citlivě
25	reaguje
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Značně	ADV	2	advmod
2	kritický	ADJ	3	amod
3	pohled	NOUN	17	nsubj
4	veřejnosti	NOUN	3	nmod
5	na	ADP	6	case
6	vládu	NOUN	3	nmod
7	a	CCONJ	8	cc
8	parlament	NOUN	6	conj
9	je	AUX	17	cop
10	podle	ADP	11	case
11	autorů	NOUN	17	obl
12	únorového	ADJ	13	amod
13	šetření	NOUN	11	nmod
14	Střediska	NOUN	13	nmod
15	empirických	ADJ	16	amod
16	výzkumů	NOUN	14	nmod
17	odrazem	NOUN	0	root
18	série	NOUN	17	nmod
19	afér	NOUN	18	nmod
20	,	PUNCT	25	punct
21	na	ADP	22	case
22	něž	PRON	25	obl:arg
23	veřejnost	NOUN	25	nsubj
24	citlivě	ADV	25	advmod
25	reaguje	VERB	19	acl:relcl
26	.	PUNCT	17	punct