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:
Josef Daněk rovněž uvedl, že tři až pět poslanců vládní koalice ve federálním parlamentě zřejmě přejde k LSU, protože nejsou spokojeni s řešením ekologických otázek.
Postion	Tokenization
1	Josef
2	Daněk
3	rovněž
4	uvedl
5	,
6	že
7	tři
8	až
9	pět
10	poslanců
11	vládní
12	koalice
13	ve
14	federálním
15	parlamentě
16	zřejmě
17	přejde
18	k
19	LSU
20	,
21	protože
22	nejsou
23	spokojeni
24	s
25	řešením
26	ekologických
27	otázek
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Josef	PROPN	4	nsubj
2	Daněk	PROPN	1	flat
3	rovněž	ADV	4	advmod
4	uvedl	VERB	0	root
5	,	PUNCT	17	punct
6	že	SCONJ	17	mark
7	tři	NUM	10	nummod:gov
8	až	CCONJ	9	cc
9	pět	NUM	7	conj
10	poslanců	NOUN	17	nsubj
11	vládní	ADJ	12	amod
12	koalice	NOUN	10	nmod
13	ve	ADP	15	case
14	federálním	ADJ	15	amod
15	parlamentě	NOUN	12	nmod
16	zřejmě	ADV	17	advmod
17	přejde	VERB	4	ccomp
18	k	ADP	19	case
19	LSU	PROPN	17	obl
20	,	PUNCT	23	punct
21	protože	SCONJ	23	mark
22	nejsou	AUX	23	cop
23	spokojeni	ADJ	17	advcl
24	s	ADP	25	case
25	řešením	NOUN	23	obl:arg
26	ekologických	ADJ	27	amod
27	otázek	NOUN	25	nmod
28	.	PUNCT	4	punct