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:
Získal jsem rovněž zkušenosti z řízení začínající malé soukromé firmy s šesti zaměstnanci, působící v oboru obchodu a distribuce zboží včetně dovozu.
Postion	Tokenization
1	Získal
2	jsem
3	rovněž
4	zkušenosti
5	z
6	řízení
7	začínající
8	malé
9	soukromé
10	firmy
11	s
12	šesti
13	zaměstnanci
14	,
15	působící
16	v
17	oboru
18	obchodu
19	a
20	distribuce
21	zboží
22	včetně
23	dovozu
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Získal	VERB	0	root
2	jsem	AUX	1	aux
3	rovněž	ADV	1	advmod
4	zkušenosti	NOUN	1	obj
5	z	ADP	6	case
6	řízení	NOUN	4	nmod
7	začínající	ADJ	10	amod
8	malé	ADJ	10	amod
9	soukromé	ADJ	10	amod
10	firmy	NOUN	6	nmod
11	s	ADP	13	case
12	šesti	NUM	13	nummod
13	zaměstnanci	NOUN	10	nmod
14	,	PUNCT	15	punct
15	působící	ADJ	10	amod
16	v	ADP	17	case
17	oboru	NOUN	15	obl
18	obchodu	NOUN	17	nmod
19	a	CCONJ	20	cc
20	distribuce	NOUN	18	conj
21	zboží	NOUN	20	nmod
22	včetně	ADV	23	case
23	dovozu	NOUN	20	nmod
24	.	PUNCT	1	punct