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:
Svobodní demokraté (OH) jsou přesvědčeni, že omezení nezávislých kandidátů do nadcházejících komunálních voleb bude mít pro obce neblahé důsledky, mnohde se možná ani kandidátky nenaplní.
Postion	Tokenization
1	Svobodní
2	demokraté
3	(
4	OH
5	)
6	jsou
7	přesvědčeni
8	,
9	že
10	omezení
11	nezávislých
12	kandidátů
13	do
14	nadcházejících
15	komunálních
16	voleb
17	bude
18	mít
19	pro
20	obce
21	neblahé
22	důsledky
23	,
24	mnohde
25	se
26	možná
27	ani
28	kandidátky
29	nenaplní
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Svobodní	ADJ	2	amod
2	demokraté	NOUN	7	nsubj
3	(	PUNCT	4	punct
4	OH	PROPN	2	appos
5	)	PUNCT	4	punct
6	jsou	AUX	7	cop
7	přesvědčeni	ADJ	0	root
8	,	PUNCT	18	punct
9	že	SCONJ	18	mark
10	omezení	NOUN	18	nsubj
11	nezávislých	ADJ	12	amod
12	kandidátů	NOUN	10	nmod
13	do	ADP	16	case
14	nadcházejících	ADJ	16	amod
15	komunálních	ADJ	16	amod
16	voleb	NOUN	12	nmod
17	bude	AUX	18	aux
18	mít	VERB	7	ccomp
19	pro	ADP	20	case
20	obce	NOUN	18	obl
21	neblahé	ADJ	22	amod
22	důsledky	NOUN	18	obj
23	,	PUNCT	29	punct
24	mnohde	ADV	29	advmod
25	se	PRON	29	expl:pass
26	možná	ADV	29	advmod
27	ani	CCONJ	29	advmod:emph
28	kandidátky	NOUN	29	nsubj:pass
29	nenaplní	VERB	7	conj
30	.	PUNCT	7	punct