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:
Absolventi se podle zvoleného oboru uplatní jako vedoucí pracovníci podnikových útvarů, účetní a daňoví poradci, dealeři výpočetní techniky a v dalších profesích.
Postion	Tokenization
1	Absolventi
2	se
3	podle
4	zvoleného
5	oboru
6	uplatní
7	jako
8	vedoucí
9	pracovníci
10	podnikových
11	útvarů
12	,
13	účetní
14	a
15	daňoví
16	poradci
17	,
18	dealeři
19	výpočetní
20	techniky
21	a
22	v
23	dalších
24	profesích
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Absolventi	NOUN	6	nsubj
2	se	PRON	6	expl:pv
3	podle	ADP	5	case
4	zvoleného	ADJ	5	amod
5	oboru	NOUN	6	obl
6	uplatní	VERB	0	root
7	jako	SCONJ	9	cc
8	vedoucí	ADJ	9	amod
9	pracovníci	NOUN	1	xcomp
10	podnikových	ADJ	11	amod
11	útvarů	NOUN	9	nmod
12	,	PUNCT	16	punct
13	účetní	ADJ	16	amod
14	a	CCONJ	15	cc
15	daňoví	ADJ	13	conj
16	poradci	NOUN	9	conj
17	,	PUNCT	18	punct
18	dealeři	NOUN	9	conj
19	výpočetní	ADJ	20	amod
20	techniky	NOUN	18	nmod
21	a	CCONJ	24	cc
22	v	ADP	24	case
23	dalších	ADJ	24	amod
24	profesích	NOUN	6	conj
25	.	PUNCT	6	punct