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:
Občanská demokratická strana by v případě, že by se nyní konaly volby, získala 18 procent, to je nejvíce hlasů v Ústí nad Labem.
Postion	Tokenization
1	Občanská
2	demokratická
3	strana
4	by
5	v
6	případě
7	,
8	že
9	by
10	se
11	nyní
12	konaly
13	volby
14	,
15	získala
16	18
17	procent
18	,
19	to
20	je
21	nejvíce
22	hlasů
23	v
24	Ústí
25	nad
26	Labem
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Občanská	ADJ	3	amod
2	demokratická	ADJ	3	amod
3	strana	NOUN	15	nsubj
4	by	AUX	15	aux
5	v	ADP	6	case
6	případě	NOUN	15	obl
7	,	PUNCT	12	punct
8	že	SCONJ	12	mark
9	by	AUX	12	aux
10	se	PRON	12	expl:pass
11	nyní	ADV	12	advmod
12	konaly	VERB	6	acl
13	volby	NOUN	12	nsubj:pass
14	,	PUNCT	12	punct
15	získala	VERB	0	root
16	18	NUM	17	nummod:gov
17	procent	NOUN	15	obj
18	,	PUNCT	20	punct
19	to	DET	20	nsubj
20	je	VERB	15	conj
21	nejvíce	ADV	20	advmod
22	hlasů	NOUN	21	nmod
23	v	ADP	24	case
24	Ústí	PROPN	20	obl
25	nad	ADP	26	case
26	Labem	PROPN	24	nmod
27	.	PUNCT	15	punct