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:
Odpověď na otázku, jak IPO čelí konkurenci a sníženému zájmu o zboží dlouhodobé spotřeby, shrnul obchodní ředitel firmy Jaromír Šrůtek do dvou zásad:
Postion	Tokenization
1	Odpověď
2	na
3	otázku
4	,
5	jak
6	IPO
7	čelí
8	konkurenci
9	a
10	sníženému
11	zájmu
12	o
13	zboží
14	dlouhodobé
15	spotřeby
16	,
17	shrnul
18	obchodní
19	ředitel
20	firmy
21	Jaromír
22	Šrůtek
23	do
24	dvou
25	zásad
26	:
Position	Tokenization	UPOS	Head	Deprel
1	Odpověď	NOUN	17	obj
2	na	ADP	3	case
3	otázku	NOUN	1	nmod
4	,	PUNCT	7	punct
5	jak	ADV	7	advmod
6	IPO	PROPN	7	nsubj
7	čelí	VERB	3	acl
8	konkurenci	NOUN	7	obl:arg
9	a	CCONJ	11	cc
10	sníženému	ADJ	11	amod
11	zájmu	NOUN	8	conj
12	o	ADP	13	case
13	zboží	NOUN	11	nmod
14	dlouhodobé	ADJ	15	amod
15	spotřeby	NOUN	13	nmod
16	,	PUNCT	7	punct
17	shrnul	VERB	0	root
18	obchodní	ADJ	19	amod
19	ředitel	NOUN	17	nsubj
20	firmy	NOUN	19	nmod
21	Jaromír	PROPN	19	flat
22	Šrůtek	PROPN	19	flat
23	do	ADP	25	case
24	dvou	NUM	25	nummod
25	zásad	NOUN	17	obl
26	:	PUNCT	17	punct