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:
Slovenský ministr zemědělství Peter Baco nedávno prohlásil, že když nebude "federál" financovat stavbu Gabčíkova, tak nesmí financovat ani investiční akce v České republice.
Postion	Tokenization
1	Slovenský
2	ministr
3	zemědělství
4	Peter
5	Baco
6	nedávno
7	prohlásil
8	,
9	že
10	když
11	nebude
12	"
13	federál
14	"
15	financovat
16	stavbu
17	Gabčíkova
18	,
19	tak
20	nesmí
21	financovat
22	ani
23	investiční
24	akce
25	v
26	České
27	republice
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Slovenský	ADJ	2	amod
2	ministr	NOUN	7	nsubj
3	zemědělství	NOUN	2	nmod
4	Peter	PROPN	2	flat
5	Baco	PROPN	2	flat
6	nedávno	ADV	7	advmod
7	prohlásil	VERB	0	root
8	,	PUNCT	20	punct
9	že	SCONJ	20	mark
10	když	SCONJ	15	mark
11	nebude	AUX	15	aux
12	"	PUNCT	13	punct
13	federál	NOUN	15	nsubj
14	"	PUNCT	13	punct
15	financovat	VERB	20	advcl
16	stavbu	NOUN	15	obj
17	Gabčíkova	PROPN	16	nmod
18	,	PUNCT	15	punct
19	tak	ADV	20	advmod
20	nesmí	VERB	7	ccomp
21	financovat	VERB	20	xcomp
22	ani	CCONJ	24	advmod:emph
23	investiční	ADJ	24	amod
24	akce	NOUN	21	obj
25	v	ADP	27	case
26	České	ADJ	27	amod
27	republice	NOUN	24	nmod
28	.	PUNCT	7	punct