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: Obratu zhruba 600 milionů korun ročně dosahuje státní podnik Pražské kanalizace a vodní toky (PKVT), který zabezpečuje odvádění a čištění odpadních vod z více než 30000 hektarů a stará se o vodní toky na území hlavního města Prahy, kromě Vltavy.
Position	Tokenization	UPOS	Head	Deprel
1	Obratu	NOUN	7	obl:arg
2	zhruba	ADV	4	advmod:emph
3	600	NUM	4	nummod
4	milionů	NOUN	1	nmod
5	korun	NOUN	4	nmod
6	ročně	ADV	5	advmod
7	dosahuje	VERB	0	root
8	státní	ADJ	9	amod
9	podnik	NOUN	7	nsubj
10	Pražské	ADJ	11	amod
11	kanalizace	NOUN	9	nmod
12	a	CCONJ	14	cc
13	vodní	ADJ	14	amod
14	toky	NOUN	11	conj
15	(	PUNCT	16	punct
16	PKVT	PROPN	11	appos
17	)	PUNCT	16	punct
18	,	PUNCT	20	punct
19	který	DET	20	nsubj
20	zabezpečuje	VERB	9	acl:relcl
21	odvádění	NOUN	20	obj
22	a	CCONJ	23	cc
23	čištění	NOUN	21	conj
24	odpadních	ADJ	25	amod
25	vod	NOUN	21	nmod
26	z	ADP	30	case
27	více	ADV	30	advmod
28	než	SCONJ	29	mark
29	30000	NUM	27	obl
30	hektarů	NOUN	25	nmod
31	a	CCONJ	32	cc
32	stará	VERB	20	conj
33	se	PRON	32	expl:pv
34	o	ADP	36	case
35	vodní	ADJ	36	amod
36	toky	NOUN	32	obl:arg
37	na	ADP	38	case
38	území	NOUN	36	nmod
39	hlavního	ADJ	40	amod
40	města	NOUN	38	nmod
41	Prahy	PROPN	40	nmod
42	,	PUNCT	44	punct
43	kromě	ADP	44	case
44	Vltavy	PROPN	36	nmod
45	.	PUNCT	7	punct