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: Tyto reakce mají ještě druhou stránku - železo při rezavění redukuje kyslík na vodu, stejně tak se kyslík redukuje na vodu ve spalovacím motoru a chlór se podobně redukuje v znečištěné vodě na kyselinu chlorovodíkovou.
Position	Tokenization	UPOS	Head	Deprel
1	Tyto	DET	2	det
2	reakce	NOUN	3	nsubj
3	mají	VERB	0	root
4	ještě	ADV	6	advmod:emph
5	druhou	ADJ	6	amod
6	stránku	NOUN	3	obj
7	-	PUNCT	11	punct
8	železo	NOUN	11	nsubj
9	při	ADP	10	case
10	rezavění	NOUN	11	obl
11	redukuje	VERB	6	acl
12	kyslík	NOUN	11	obj
13	na	ADP	14	case
14	vodu	NOUN	11	obl
15	,	PUNCT	20	punct
16	stejně	ADV	20	advmod
17	tak	ADV	20	advmod
18	se	PRON	20	expl:pass
19	kyslík	NOUN	20	nsubj:pass
20	redukuje	VERB	11	conj
21	na	ADP	22	case
22	vodu	NOUN	20	obl
23	ve	ADP	25	case
24	spalovacím	ADJ	25	amod
25	motoru	NOUN	20	obl
26	a	CCONJ	30	cc
27	chlór	NOUN	30	nsubj:pass
28	se	PRON	30	expl:pass
29	podobně	ADV	30	advmod
30	redukuje	VERB	11	conj
31	v	ADP	33	case
32	znečištěné	ADJ	33	amod
33	vodě	NOUN	30	obl
34	na	ADP	35	case
35	kyselinu	NOUN	30	obl
36	chlorovodíkovou	ADJ	35	amod
37	.	PUNCT	3	punct