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:
Zakladatel a majitel firmy Antonín Klement zdůraznil, že Avokádo se 70 zaměstnanci je po společnosti EMARKO Varnsdorf (bývalé Balírny obchodu) druhým největším podnikatelským subjektem v tomto oboru v ČR.
Postion	Tokenization
1	Zakladatel
2	a
3	majitel
4	firmy
5	Antonín
6	Klement
7	zdůraznil
8	,
9	že
10	Avokádo
11	se
12	70
13	zaměstnanci
14	je
15	po
16	společnosti
17	EMARKO
18	Varnsdorf
19	(
20	bývalé
21	Balírny
22	obchodu
23	)
24	druhým
25	největším
26	podnikatelským
27	subjektem
28	v
29	tomto
30	oboru
31	v
32	ČR
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Zakladatel	NOUN	5	nmod
2	a	CCONJ	3	cc
3	majitel	NOUN	1	conj
4	firmy	NOUN	3	nmod
5	Antonín	PROPN	7	nsubj
6	Klement	PROPN	5	flat
7	zdůraznil	VERB	0	root
8	,	PUNCT	27	punct
9	že	SCONJ	27	mark
10	Avokádo	PROPN	27	nsubj
11	se	ADP	13	case
12	70	NUM	13	nummod
13	zaměstnanci	NOUN	27	obl
14	je	AUX	27	cop
15	po	ADP	16	case
16	společnosti	NOUN	27	obl
17	EMARKO	PROPN	18	nmod
18	Varnsdorf	PROPN	16	nmod
19	(	PUNCT	18	punct
20	bývalé	ADJ	21	amod
21	Balírny	NOUN	18	dep
22	obchodu	NOUN	21	nmod
23	)	PUNCT	18	punct
24	druhým	ADJ	27	amod
25	největším	ADJ	27	amod
26	podnikatelským	ADJ	27	amod
27	subjektem	NOUN	7	ccomp
28	v	ADP	30	case
29	tomto	DET	30	det
30	oboru	NOUN	25	obl
31	v	ADP	32	case
32	ČR	PROPN	25	obl
33	.	PUNCT	7	punct