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:
Libor Kavan, předseda představenstva a. s. Agroplast Liberec zabývající se zejména výrobou a zpracováním kameniva, nám řekl: "S vývozem vrtulníků do Chorvatska nemáme nic společného.
Postion	Tokenization
1	Libor
2	Kavan
3	,
4	předseda
5	představenstva
6	a
7	.
8	s
9	.
10	Agroplast
11	Liberec
12	zabývající
13	se
14	zejména
15	výrobou
16	a
17	zpracováním
18	kameniva
19	,
20	nám
21	řekl
22	:
23	"
24	S
25	vývozem
26	vrtulníků
27	do
28	Chorvatska
29	nemáme
30	nic
31	společného
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Libor	PROPN	21	dep
2	Kavan	PROPN	1	flat
3	,	PUNCT	4	punct
4	předseda	NOUN	1	appos
5	představenstva	NOUN	4	nmod
6	a	ADJ	8	amod
7	.	PUNCT	6	punct
8	s	NOUN	5	nmod
9	.	PUNCT	8	punct
10	Agroplast	PROPN	8	nmod
11	Liberec	PROPN	10	nmod
12	zabývající	ADJ	8	amod
13	se	PRON	12	expl:pv
14	zejména	ADV	15	advmod:emph
15	výrobou	NOUN	12	obl:arg
16	a	CCONJ	17	cc
17	zpracováním	NOUN	15	conj
18	kameniva	NOUN	17	nmod
19	,	PUNCT	12	punct
20	nám	PRON	21	obl:arg
21	řekl	VERB	0	root
22	:	PUNCT	29	punct
23	"	PUNCT	29	punct
24	S	ADP	25	case
25	vývozem	NOUN	31	obl:arg
26	vrtulníků	NOUN	25	nmod
27	do	ADP	28	case
28	Chorvatska	PROPN	25	nmod
29	nemáme	VERB	21	ccomp
30	nic	PRON	29	obj
31	společného	ADJ	30	amod
32	.	PUNCT	21	punct