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:
Měkká voda, která má nedostatek minerálních látek, může negativně ovlivňovat cévní a imunitní systém člověka a podílet se tak například na vzniku kardiovaskulárních onemocnění.
Postion	Tokenization
1	Měkká
2	voda
3	,
4	která
5	má
6	nedostatek
7	minerálních
8	látek
9	,
10	může
11	negativně
12	ovlivňovat
13	cévní
14	a
15	imunitní
16	systém
17	člověka
18	a
19	podílet
20	se
21	tak
22	například
23	na
24	vzniku
25	kardiovaskulárních
26	onemocnění
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Měkká	ADJ	2	amod
2	voda	NOUN	10	nsubj
3	,	PUNCT	5	punct
4	která	DET	5	nsubj
5	má	VERB	2	acl:relcl
6	nedostatek	NOUN	5	obj
7	minerálních	ADJ	8	amod
8	látek	NOUN	6	nmod
9	,	PUNCT	5	punct
10	může	VERB	0	root
11	negativně	ADV	12	advmod
12	ovlivňovat	VERB	10	xcomp
13	cévní	ADJ	16	amod
14	a	CCONJ	15	cc
15	imunitní	ADJ	13	conj
16	systém	NOUN	12	obj
17	člověka	NOUN	16	nmod
18	a	CCONJ	19	cc
19	podílet	VERB	12	conj
20	se	PRON	19	expl:pv
21	tak	ADV	19	advmod
22	například	ADV	19	advmod
23	na	ADP	24	case
24	vzniku	NOUN	19	obl:arg
25	kardiovaskulárních	ADJ	26	amod
26	onemocnění	NOUN	24	nmod
27	.	PUNCT	10	punct