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:
Představme si, že bychom v roce 1989 zemědělství nepřestali masivně dotovat a nadále bychom dávali 30 miliard korun ročně jako příspěvek na udržení nízké, regulované ceny potravin.
Postion	Tokenization
1	Představme
2	si
3	,
4	že
5	bychom
6	v
7	roce
8	1989
9	zemědělství
10	nepřestali
11	masivně
12	dotovat
13	a
14	nadále
15	bychom
16	dávali
17	30
18	miliard
19	korun
20	ročně
21	jako
22	příspěvek
23	na
24	udržení
25	nízké
26	,
27	regulované
28	ceny
29	potravin
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Představme	VERB	0	root
2	si	PRON	1	expl:pv
3	,	PUNCT	10	punct
4	že	SCONJ	10	mark
5	bychom	AUX	10	aux
6	v	ADP	7	case
7	roce	NOUN	10	obl
8	1989	NUM	7	nummod
9	zemědělství	NOUN	12	obj
10	nepřestali	VERB	1	ccomp
11	masivně	ADV	12	advmod
12	dotovat	VERB	10	xcomp
13	a	CCONJ	16	cc
14	nadále	ADV	16	advmod
15	bychom	AUX	16	aux
16	dávali	VERB	10	conj
17	30	NUM	18	nummod:gov
18	miliard	NOUN	16	obj
19	korun	NOUN	18	nmod
20	ročně	ADV	19	advmod
21	jako	SCONJ	22	mark
22	příspěvek	NOUN	17	xcomp
23	na	ADP	24	case
24	udržení	NOUN	22	nmod
25	nízké	ADJ	28	amod
26	,	PUNCT	27	punct
27	regulované	ADJ	25	conj
28	ceny	NOUN	24	nmod
29	potravin	NOUN	28	nmod
30	.	PUNCT	1	punct