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:
Šéf Aera Zdeněk Chalupník LN potvrdil, že dokončení L-159 jako ojedinělého programu souvisí s výběrem zahraniční firmy na dodání elektroniky.
Postion	Tokenization
1	Šéf
2	Aera
3	Zdeněk
4	Chalupník
5	LN
6	potvrdil
7	,
8	že
9	dokončení
10	L
11	-
12	159
13	jako
14	ojedinělého
15	programu
16	souvisí
17	s
18	výběrem
19	zahraniční
20	firmy
21	na
22	dodání
23	elektroniky
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Šéf	NOUN	6	nsubj
2	Aera	PROPN	1	nmod
3	Zdeněk	PROPN	1	flat
4	Chalupník	PROPN	1	flat
5	LN	PROPN	6	iobj
6	potvrdil	VERB	0	root
7	,	PUNCT	16	punct
8	že	SCONJ	16	mark
9	dokončení	NOUN	16	nsubj
10	L	NOUN	9	nmod
11	-	PUNCT	12	punct
12	159	NUM	10	nummod
13	jako	SCONJ	15	mark
14	ojedinělého	ADJ	15	amod
15	programu	NOUN	10	xcomp
16	souvisí	VERB	6	ccomp
17	s	ADP	18	case
18	výběrem	NOUN	16	obl:arg
19	zahraniční	ADJ	20	amod
20	firmy	NOUN	18	nmod
21	na	ADP	22	case
22	dodání	NOUN	20	nmod
23	elektroniky	NOUN	22	nmod
24	.	PUNCT	6	punct