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:
Dlouhodobě rozpolcené brněnské ODS se podařilo na pátečním oblastním sněmu dosáhnout kompromisu ohledně sestavení kandidátky do Zastupitelstva města Brna a voleb do oblastní rady.
Postion	Tokenization
1	Dlouhodobě
2	rozpolcené
3	brněnské
4	ODS
5	se
6	podařilo
7	na
8	pátečním
9	oblastním
10	sněmu
11	dosáhnout
12	kompromisu
13	ohledně
14	sestavení
15	kandidátky
16	do
17	Zastupitelstva
18	města
19	Brna
20	a
21	voleb
22	do
23	oblastní
24	rady
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Dlouhodobě	ADV	2	advmod
2	rozpolcené	ADJ	4	amod
3	brněnské	ADJ	4	amod
4	ODS	PROPN	6	obj
5	se	PRON	6	expl:pv
6	podařilo	VERB	0	root
7	na	ADP	10	case
8	pátečním	ADJ	10	amod
9	oblastním	ADJ	10	amod
10	sněmu	NOUN	11	obl
11	dosáhnout	VERB	6	csubj
12	kompromisu	NOUN	11	obl:arg
13	ohledně	ADP	14	case
14	sestavení	NOUN	12	nmod
15	kandidátky	NOUN	14	nmod
16	do	ADP	17	case
17	Zastupitelstva	NOUN	15	nmod
18	města	NOUN	17	nmod
19	Brna	PROPN	18	nmod
20	a	CCONJ	21	cc
21	voleb	NOUN	17	conj
22	do	ADP	24	case
23	oblastní	ADJ	24	amod
24	rady	NOUN	21	nmod
25	.	PUNCT	6	punct