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:
Podle Navrátila je nedávná dohoda dvou znesvářených křídel v brněnské ODS přínosem pro Brno a otvírá možnost rozumné povolební dohody mezi členy vládní koalice.
Postion	Tokenization
1	Podle
2	Navrátila
3	je
4	nedávná
5	dohoda
6	dvou
7	znesvářených
8	křídel
9	v
10	brněnské
11	ODS
12	přínosem
13	pro
14	Brno
15	a
16	otvírá
17	možnost
18	rozumné
19	povolební
20	dohody
21	mezi
22	členy
23	vládní
24	koalice
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Navrátila	PROPN	12	obl
3	je	AUX	12	cop
4	nedávná	ADJ	5	amod
5	dohoda	NOUN	12	nsubj
6	dvou	NUM	8	nummod
7	znesvářených	ADJ	8	amod
8	křídel	NOUN	5	nmod
9	v	ADP	11	case
10	brněnské	ADJ	11	amod
11	ODS	PROPN	8	nmod
12	přínosem	NOUN	0	root
13	pro	ADP	14	case
14	Brno	PROPN	12	nmod
15	a	CCONJ	16	cc
16	otvírá	VERB	12	conj
17	možnost	NOUN	16	obj
18	rozumné	ADJ	20	amod
19	povolební	ADJ	20	amod
20	dohody	NOUN	17	nmod
21	mezi	ADP	22	case
22	členy	NOUN	20	nmod
23	vládní	ADJ	24	amod
24	koalice	NOUN	22	nmod
25	.	PUNCT	12	punct