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:
Letošní laureát Nobelovy ceny za chemii Rudolph Arthur Marcus se teoreticky zabýval zmíněnými jednoduchými reakcemi jak v homogenních roztocích, tak na elektrodách.
Postion	Tokenization
1	Letošní
2	laureát
3	Nobelovy
4	ceny
5	za
6	chemii
7	Rudolph
8	Arthur
9	Marcus
10	se
11	teoreticky
12	zabýval
13	zmíněnými
14	jednoduchými
15	reakcemi
16	jak
17	v
18	homogenních
19	roztocích
20	,
21	tak
22	na
23	elektrodách
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Letošní	ADJ	2	amod
2	laureát	NOUN	12	nsubj
3	Nobelovy	ADJ	4	amod
4	ceny	NOUN	2	nmod
5	za	ADP	6	case
6	chemii	NOUN	4	nmod
7	Rudolph	PROPN	2	flat
8	Arthur	PROPN	2	flat
9	Marcus	PROPN	2	flat
10	se	PRON	12	expl:pv
11	teoreticky	ADV	12	advmod
12	zabýval	VERB	0	root
13	zmíněnými	ADJ	15	amod
14	jednoduchými	ADJ	15	amod
15	reakcemi	NOUN	12	obl:arg
16	jak	ADV	19	cc
17	v	ADP	19	case
18	homogenních	ADJ	19	amod
19	roztocích	NOUN	15	nmod
20	,	PUNCT	23	punct
21	tak	CCONJ	23	cc
22	na	ADP	23	case
23	elektrodách	NOUN	19	conj
24	.	PUNCT	12	punct