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:
Bakterie rozloží všechny chemické sloučeniny, zlikvidují i nepříjemný zápach a dokonce zbaví vodu látek, s nimiž si chemická čistička neporadí.
Postion	Tokenization
1	Bakterie
2	rozloží
3	všechny
4	chemické
5	sloučeniny
6	,
7	zlikvidují
8	i
9	nepříjemný
10	zápach
11	a
12	dokonce
13	zbaví
14	vodu
15	látek
16	,
17	s
18	nimiž
19	si
20	chemická
21	čistička
22	neporadí
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Bakterie	NOUN	2	nsubj
2	rozloží	VERB	0	root
3	všechny	DET	5	det
4	chemické	ADJ	5	amod
5	sloučeniny	NOUN	2	obj
6	,	PUNCT	7	punct
7	zlikvidují	VERB	2	conj
8	i	CCONJ	10	advmod:emph
9	nepříjemný	ADJ	10	amod
10	zápach	NOUN	7	obj
11	a	CCONJ	13	cc
12	dokonce	ADV	13	advmod:emph
13	zbaví	VERB	2	conj
14	vodu	NOUN	13	obj
15	látek	NOUN	13	obl:arg
16	,	PUNCT	22	punct
17	s	ADP	18	case
18	nimiž	PRON	22	obl:arg
19	si	PRON	22	expl:pv
20	chemická	ADJ	21	amod
21	čistička	NOUN	22	nsubj
22	neporadí	VERB	15	acl:relcl
23	.	PUNCT	2	punct