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:
Jsem též proti zhoršení důchodů (i když formulaci "zhoršení důchodů" přesně nerozumím) a navíc prohlašuji, že se žádné zhoršení nechystá.
Postion	Tokenization
1	Jsem
2	též
3	proti
4	zhoršení
5	důchodů
6	(
7	i
8	když
9	formulaci
10	"
11	zhoršení
12	důchodů
13	"
14	přesně
15	nerozumím
16	)
17	a
18	navíc
19	prohlašuji
20	,
21	že
22	se
23	žádné
24	zhoršení
25	nechystá
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Jsem	VERB	0	root
2	též	ADV	1	advmod
3	proti	ADP	4	case
4	zhoršení	NOUN	1	obl
5	důchodů	NOUN	4	nmod
6	(	PUNCT	15	punct
7	i	CCONJ	15	mark
8	když	SCONJ	7	fixed
9	formulaci	NOUN	15	obj
10	"	PUNCT	11	punct
11	zhoršení	NOUN	9	nmod
12	důchodů	NOUN	11	nmod
13	"	PUNCT	11	punct
14	přesně	ADV	15	advmod
15	nerozumím	VERB	1	advcl
16	)	PUNCT	15	punct
17	a	CCONJ	19	cc
18	navíc	ADV	19	advmod
19	prohlašuji	VERB	1	conj
20	,	PUNCT	25	punct
21	že	SCONJ	25	mark
22	se	PRON	25	expl:pass
23	žádné	DET	24	det
24	zhoršení	NOUN	25	nsubj:pass
25	nechystá	VERB	19	ccomp
26	.	PUNCT	1	punct