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:
Další podpora byla poskytnuta Ministerstvem zemědělství - přibližně 2.8 miliardy korun, Ministerstvem práce a sociálních věcí - kolem 178 milionů korun, a Ministerstvem hospodářství - asi 1.2 miliardy korun.
Postion	Tokenization
1	Další
2	podpora
3	byla
4	poskytnuta
5	Ministerstvem
6	zemědělství
7	-
8	přibližně
9	2.8
10	miliardy
11	korun
12	,
13	Ministerstvem
14	práce
15	a
16	sociálních
17	věcí
18	-
19	kolem
20	178
21	milionů
22	korun
23	,
24	a
25	Ministerstvem
26	hospodářství
27	-
28	asi
29	1.2
30	miliardy
31	korun
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Další	ADJ	2	amod
2	podpora	NOUN	4	nsubj:pass
3	byla	AUX	4	aux:pass
4	poskytnuta	ADJ	0	root
5	Ministerstvem	NOUN	4	obl:arg
6	zemědělství	NOUN	5	nmod
7	-	PUNCT	5	punct
8	přibližně	ADV	9	advmod:emph
9	2.8	NUM	10	nummod:gov
10	miliardy	NOUN	5	dep
11	korun	NOUN	10	nmod
12	,	PUNCT	13	punct
13	Ministerstvem	NOUN	5	conj
14	práce	NOUN	13	nmod
15	a	CCONJ	17	cc
16	sociálních	ADJ	17	amod
17	věcí	NOUN	14	conj
18	-	PUNCT	13	punct
19	kolem	ADP	21	case
20	178	NUM	21	nummod:gov
21	milionů	NOUN	13	dep
22	korun	NOUN	21	nmod
23	,	PUNCT	25	punct
24	a	CCONJ	25	cc
25	Ministerstvem	NOUN	5	conj
26	hospodářství	NOUN	25	nmod
27	-	PUNCT	25	punct
28	asi	PART	29	advmod:emph
29	1.2	NUM	30	nummod:gov
30	miliardy	NOUN	25	dep
31	korun	NOUN	30	nmod
32	.	PUNCT	4	punct