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:
Stavba, do níž stát investuje kolem sedmi set milionů korun, dnes vypadá neutěšeně, protože vrcholí destrukční fáze: snášejí se staré střechy a bourají stropy a příčky.
Postion	Tokenization
1	Stavba
2	,
3	do
4	níž
5	stát
6	investuje
7	kolem
8	sedmi
9	set
10	milionů
11	korun
12	,
13	dnes
14	vypadá
15	neutěšeně
16	,
17	protože
18	vrcholí
19	destrukční
20	fáze
21	:
22	snášejí
23	se
24	staré
25	střechy
26	a
27	bourají
28	stropy
29	a
30	příčky
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Stavba	NOUN	14	nsubj
2	,	PUNCT	6	punct
3	do	ADP	4	case
4	níž	PRON	6	obl
5	stát	NOUN	6	nsubj
6	investuje	VERB	1	acl:relcl
7	kolem	ADP	9	case
8	sedmi	NUM	9	nummod
9	set	NOUN	6	obl:arg
10	milionů	NOUN	9	nmod
11	korun	NOUN	10	nmod
12	,	PUNCT	6	punct
13	dnes	ADV	14	advmod
14	vypadá	VERB	0	root
15	neutěšeně	ADV	14	advmod
16	,	PUNCT	18	punct
17	protože	SCONJ	18	mark
18	vrcholí	VERB	14	advcl
19	destrukční	ADJ	20	amod
20	fáze	NOUN	18	nsubj
21	:	PUNCT	22	punct
22	snášejí	VERB	18	appos
23	se	PRON	22	expl:pass
24	staré	ADJ	25	amod
25	střechy	NOUN	22	nsubj:pass
26	a	CCONJ	27	cc
27	bourají	VERB	22	conj
28	stropy	NOUN	27	nsubj
29	a	CCONJ	30	cc
30	příčky	NOUN	28	conj
31	.	PUNCT	14	punct