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:
Může tedy například po řadu let předpokládané zisky investovat zpět do výroby, takže výplata dividend, kterou preferuje většina drobných investorů, nepřipadá v úvahu.
Postion	Tokenization
1	Může
2	tedy
3	například
4	po
5	řadu
6	let
7	předpokládané
8	zisky
9	investovat
10	zpět
11	do
12	výroby
13	,
14	takže
15	výplata
16	dividend
17	,
18	kterou
19	preferuje
20	většina
21	drobných
22	investorů
23	,
24	nepřipadá
25	v
26	úvahu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Může	VERB	0	root
2	tedy	ADV	1	advmod
3	například	ADV	1	advmod
4	po	ADP	5	case
5	řadu	NOUN	7	obl
6	let	NOUN	5	nmod
7	předpokládané	ADJ	8	amod
8	zisky	NOUN	9	obj
9	investovat	VERB	1	xcomp
10	zpět	ADV	9	advmod
11	do	ADP	12	case
12	výroby	NOUN	9	obl
13	,	PUNCT	24	punct
14	takže	SCONJ	24	mark
15	výplata	NOUN	24	nsubj
16	dividend	NOUN	15	nmod
17	,	PUNCT	19	punct
18	kterou	DET	19	obj
19	preferuje	VERB	15	acl:relcl
20	většina	NOUN	19	nsubj
21	drobných	ADJ	22	amod
22	investorů	NOUN	20	nmod
23	,	PUNCT	19	punct
24	nepřipadá	VERB	1	advcl
25	v	ADP	26	case
26	úvahu	NOUN	24	obl:arg
27	.	PUNCT	1	punct