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:
Hodně bylo napsáno o legendárních investorech, kteří byli schopni během relativně krátké doby dosáhnout zisků ve výši několika set nebo tisíc procent.
Postion	Tokenization
1	Hodně
2	bylo
3	napsáno
4	o
5	legendárních
6	investorech
7	,
8	kteří
9	byli
10	schopni
11	během
12	relativně
13	krátké
14	doby
15	dosáhnout
16	zisků
17	ve
18	výši
19	několika
20	set
21	nebo
22	tisíc
23	procent
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Hodně	ADV	3	nsubj:pass
2	bylo	AUX	3	aux:pass
3	napsáno	ADJ	0	root
4	o	ADP	6	case
5	legendárních	ADJ	6	amod
6	investorech	NOUN	3	obl:arg
7	,	PUNCT	10	punct
8	kteří	DET	10	nsubj
9	byli	AUX	10	cop
10	schopni	ADJ	6	acl:relcl
11	během	ADP	14	case
12	relativně	ADV	13	advmod
13	krátké	ADJ	14	amod
14	doby	NOUN	10	obl
15	dosáhnout	VERB	10	xcomp
16	zisků	NOUN	15	obl:arg
17	ve	ADP	18	case
18	výši	NOUN	16	nmod
19	několika	DET	20	det:nummod
20	set	NOUN	18	nmod
21	nebo	CCONJ	22	cc
22	tisíc	NUM	20	conj
23	procent	NOUN	20	nmod
24	.	PUNCT	3	punct