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:
Na rekonstrukci a udržování historických staveb v mikroregionu Libochovicka a zlepšování zdejšího životního prostředí plánuje Purkyňova nadace výdaje ve výši skoro čtyř miliónů korun.
Postion	Tokenization
1	Na
2	rekonstrukci
3	a
4	udržování
5	historických
6	staveb
7	v
8	mikroregionu
9	Libochovicka
10	a
11	zlepšování
12	zdejšího
13	životního
14	prostředí
15	plánuje
16	Purkyňova
17	nadace
18	výdaje
19	ve
20	výši
21	skoro
22	čtyř
23	miliónů
24	korun
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	rekonstrukci	NOUN	15	obl
3	a	CCONJ	4	cc
4	udržování	NOUN	2	conj
5	historických	ADJ	6	amod
6	staveb	NOUN	2	nmod
7	v	ADP	8	case
8	mikroregionu	NOUN	6	nmod
9	Libochovicka	PROPN	8	nmod
10	a	CCONJ	11	cc
11	zlepšování	NOUN	2	conj
12	zdejšího	ADJ	14	amod
13	životního	ADJ	14	amod
14	prostředí	NOUN	11	nmod
15	plánuje	VERB	0	root
16	Purkyňova	ADJ	17	amod
17	nadace	NOUN	15	nsubj
18	výdaje	NOUN	15	obj
19	ve	ADP	20	case
20	výši	NOUN	18	nmod
21	skoro	ADV	23	advmod:emph
22	čtyř	NUM	23	nummod
23	miliónů	NOUN	20	nmod
24	korun	NOUN	23	nmod
25	.	PUNCT	15	punct