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:
Obecně lze charakterizovat oxidaci zhruba tak, že při ní určitá látka zvaná odborně oxidans získává elektrony (v uvedených příkladech to byl kyslík nebo chlór).
Postion	Tokenization
1	Obecně
2	lze
3	charakterizovat
4	oxidaci
5	zhruba
6	tak
7	,
8	že
9	při
10	ní
11	určitá
12	látka
13	zvaná
14	odborně
15	oxidans
16	získává
17	elektrony
18	(
19	v
20	uvedených
21	příkladech
22	to
23	byl
24	kyslík
25	nebo
26	chlór
27	)
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Obecně	ADV	2	advmod
2	lze	VERB	0	root
3	charakterizovat	VERB	2	csubj
4	oxidaci	NOUN	3	obj
5	zhruba	ADV	6	advmod:emph
6	tak	ADV	3	advmod
7	,	PUNCT	16	punct
8	že	SCONJ	16	mark
9	při	ADP	10	case
10	ní	PRON	16	obl
11	určitá	ADJ	12	amod
12	látka	NOUN	16	nsubj
13	zvaná	ADJ	12	amod
14	odborně	ADV	13	advmod
15	oxidans	NOUN	13	obj
16	získává	VERB	3	advcl
17	elektrony	NOUN	16	obj
18	(	PUNCT	22	punct
19	v	ADP	21	case
20	uvedených	ADJ	21	amod
21	příkladech	NOUN	22	obl
22	to	DET	16	parataxis
23	byl	AUX	22	cop
24	kyslík	NOUN	22	nsubj
25	nebo	CCONJ	26	cc
26	chlór	NOUN	24	conj
27	)	PUNCT	22	punct
28	.	PUNCT	2	punct