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 text: V březnu jsme žádali na okrese o půjčku čtyři sta tisíc korun na dostavbu vodovodu, vysvětluje místostarosta Josef Fukal, byla zamítnuta a pak jsme se dověděli, že Moravské Budějovice dostaly tři milióny korun na opravu penziónu pro důchodce.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	březnu	NOUN	4	obl
3	jsme	AUX	4	aux
4	žádali	VERB	17	ccomp
5	na	ADP	6	case
6	okrese	NOUN	4	obl
7	o	ADP	8	case
8	půjčku	NOUN	4	obl:arg
9	čtyři	NUM	10	nummod
10	sta	NOUN	11	nmod
11	tisíc	NUM	12	nummod:gov
12	korun	NOUN	8	nmod
13	na	ADP	14	case
14	dostavbu	NOUN	8	nmod
15	vodovodu	NOUN	14	nmod
16	,	PUNCT	4	punct
17	vysvětluje	VERB	0	root
18	místostarosta	NOUN	17	nsubj
19	Josef	PROPN	18	flat
20	Fukal	PROPN	18	flat
21	,	PUNCT	23	punct
22	byla	AUX	23	aux:pass
23	zamítnuta	ADJ	4	conj
24	a	CCONJ	28	cc
25	pak	ADV	28	advmod
26	jsme	AUX	28	aux
27	se	PRON	28	expl:pv
28	dověděli	VERB	4	conj
29	,	PUNCT	33	punct
30	že	SCONJ	33	mark
31	Moravské	ADJ	32	amod
32	Budějovice	PROPN	33	nsubj
33	dostaly	VERB	28	ccomp
34	tři	NUM	35	nummod
35	milióny	NOUN	33	obj
36	korun	NOUN	35	nmod
37	na	ADP	38	case
38	opravu	NOUN	36	nmod
39	penziónu	NOUN	38	nmod
40	pro	ADP	41	case
41	důchodce	NOUN	39	nmod
42	.	PUNCT	17	punct