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:
Zatímco se podpora voličů opoziční pravicové Straně národní akce oproti roku 1988 téměř zdvojnásobila, protestující Strana demokratické revoluce si téměř o čtyři procenta přihoršila.
Postion	Tokenization
1	Zatímco
2	se
3	podpora
4	voličů
5	opoziční
6	pravicové
7	Straně
8	národní
9	akce
10	oproti
11	roku
12	1988
13	téměř
14	zdvojnásobila
15	,
16	protestující
17	Strana
18	demokratické
19	revoluce
20	si
21	téměř
22	o
23	čtyři
24	procenta
25	přihoršila
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Zatímco	SCONJ	14	mark
2	se	PRON	14	expl:pv
3	podpora	NOUN	14	nsubj
4	voličů	NOUN	3	nmod
5	opoziční	ADJ	7	amod
6	pravicové	ADJ	7	amod
7	Straně	NOUN	3	nmod
8	národní	ADJ	9	amod
9	akce	NOUN	7	nmod
10	oproti	ADP	11	case
11	roku	NOUN	14	obl
12	1988	NUM	11	nummod
13	téměř	ADV	14	advmod:emph
14	zdvojnásobila	VERB	25	advcl
15	,	PUNCT	14	punct
16	protestující	ADJ	17	amod
17	Strana	NOUN	25	nsubj
18	demokratické	ADJ	19	amod
19	revoluce	NOUN	17	nmod
20	si	PRON	25	obl:arg
21	téměř	ADV	24	advmod:emph
22	o	ADP	24	case
23	čtyři	NUM	24	nummod
24	procenta	NOUN	25	obl
25	přihoršila	VERB	0	root
26	.	PUNCT	25	punct