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:
Prognóza ekonomického růstu, inflace a nezaměstnanosti, ochranná křídla nad ministry a pokles popularity vlády včetně premiéra - to jsou dnešní témata pravidelného rozhovoru s premiérem Václavem Klausem.
Postion	Tokenization
1	Prognóza
2	ekonomického
3	růstu
4	,
5	inflace
6	a
7	nezaměstnanosti
8	,
9	ochranná
10	křídla
11	nad
12	ministry
13	a
14	pokles
15	popularity
16	vlády
17	včetně
18	premiéra
19	-
20	to
21	jsou
22	dnešní
23	témata
24	pravidelného
25	rozhovoru
26	s
27	premiérem
28	Václavem
29	Klausem
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Prognóza	NOUN	23	nsubj
2	ekonomického	ADJ	3	amod
3	růstu	NOUN	1	nmod
4	,	PUNCT	5	punct
5	inflace	NOUN	3	conj
6	a	CCONJ	7	cc
7	nezaměstnanosti	NOUN	3	conj
8	,	PUNCT	10	punct
9	ochranná	ADJ	10	amod
10	křídla	NOUN	1	conj
11	nad	ADP	12	case
12	ministry	NOUN	10	nmod
13	a	CCONJ	14	cc
14	pokles	NOUN	1	conj
15	popularity	NOUN	14	nmod
16	vlády	NOUN	15	nmod
17	včetně	ADP	18	case
18	premiéra	NOUN	16	nmod
19	-	PUNCT	20	punct
20	to	DET	1	appos
21	jsou	AUX	23	cop
22	dnešní	ADJ	23	amod
23	témata	NOUN	0	root
24	pravidelného	ADJ	25	amod
25	rozhovoru	NOUN	23	nmod
26	s	ADP	27	case
27	premiérem	NOUN	25	nmod
28	Václavem	PROPN	27	flat
29	Klausem	PROPN	27	flat
30	.	PUNCT	23	punct