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:
Nájem z vodních staveb, který by jejich majitelé museli platit, by se navíc promítl do cen surové vody, čímž by se zdražila pitná voda pro občany.
Postion	Tokenization
1	Nájem
2	z
3	vodních
4	staveb
5	,
6	který
7	by
8	jejich
9	majitelé
10	museli
11	platit
12	,
13	by
14	se
15	navíc
16	promítl
17	do
18	cen
19	surové
20	vody
21	,
22	čímž
23	by
24	se
25	zdražila
26	pitná
27	voda
28	pro
29	občany
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Nájem	NOUN	16	nsubj
2	z	ADP	4	case
3	vodních	ADJ	4	amod
4	staveb	NOUN	1	nmod
5	,	PUNCT	10	punct
6	který	DET	11	obj
7	by	AUX	10	aux
8	jejich	DET	9	det
9	majitelé	NOUN	10	nsubj
10	museli	VERB	4	acl:relcl
11	platit	VERB	10	xcomp
12	,	PUNCT	16	punct
13	by	AUX	16	aux
14	se	PRON	16	expl:pv
15	navíc	ADV	16	advmod
16	promítl	VERB	0	root
17	do	ADP	18	case
18	cen	NOUN	16	obl
19	surové	ADJ	20	amod
20	vody	NOUN	18	nmod
21	,	PUNCT	25	punct
22	čímž	PRON	25	obl
23	by	AUX	25	aux
24	se	PRON	25	expl:pass
25	zdražila	VERB	16	conj
26	pitná	ADJ	27	amod
27	voda	NOUN	25	nsubj:pass
28	pro	ADP	29	case
29	občany	NOUN	27	nmod
30	.	PUNCT	16	punct