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:
Největšími odběrateli AROCA jsou však Čokoládovny a akciová společnost Tabák, pro které vyrábí AROCO změkčovadlo pro tabákový stvoly, tzv. bonifikátor.
Postion	Tokenization
1	Největšími
2	odběrateli
3	AROCA
4	jsou
5	však
6	Čokoládovny
7	a
8	akciová
9	společnost
10	Tabák
11	,
12	pro
13	které
14	vyrábí
15	AROCO
16	změkčovadlo
17	pro
18	tabákový
19	stvoly
20	,
21	tzv
22	.
23	bonifikátor
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Největšími	ADJ	2	amod
2	odběrateli	NOUN	0	root
3	AROCA	PROPN	2	nmod
4	jsou	AUX	2	cop
5	však	CCONJ	2	cc
6	Čokoládovny	NOUN	2	nsubj
7	a	CCONJ	9	cc
8	akciová	ADJ	9	amod
9	společnost	NOUN	6	conj
10	Tabák	NOUN	9	nmod
11	,	PUNCT	14	punct
12	pro	ADP	13	case
13	které	DET	14	obl
14	vyrábí	VERB	6	acl:relcl
15	AROCO	PROPN	14	nsubj
16	změkčovadlo	NOUN	14	obj
17	pro	ADP	19	case
18	tabákový	ADJ	19	amod
19	stvoly	NOUN	16	nmod
20	,	PUNCT	23	punct
21	tzv	ADJ	23	amod
22	.	PUNCT	21	punct
23	bonifikátor	NOUN	16	appos
24	.	PUNCT	2	punct