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:
K největšímu nárůstu obchodu došlo v prvním čtvrtletí, kdy se počet účtů více než zdvojnásobil, protože roční boom na burze přilákal statisíce nových investorů.
Postion	Tokenization
1	K
2	největšímu
3	nárůstu
4	obchodu
5	došlo
6	v
7	prvním
8	čtvrtletí
9	,
10	kdy
11	se
12	počet
13	účtů
14	více
15	než
16	zdvojnásobil
17	,
18	protože
19	roční
20	boom
21	na
22	burze
23	přilákal
24	statisíce
25	nových
26	investorů
27	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	3	case
2	největšímu	ADJ	3	amod
3	nárůstu	NOUN	5	obl:arg
4	obchodu	NOUN	3	nmod
5	došlo	VERB	0	root
6	v	ADP	8	case
7	prvním	ADJ	8	amod
8	čtvrtletí	NOUN	5	obl
9	,	PUNCT	16	punct
10	kdy	ADV	16	advmod
11	se	PRON	16	expl:pv
12	počet	NOUN	16	nsubj
13	účtů	NOUN	12	nmod
14	více	ADV	16	advmod
15	než	SCONJ	14	fixed
16	zdvojnásobil	VERB	8	acl:relcl
17	,	PUNCT	23	punct
18	protože	SCONJ	23	mark
19	roční	ADJ	20	amod
20	boom	NOUN	23	nsubj
21	na	ADP	22	case
22	burze	NOUN	20	nmod
23	přilákal	VERB	16	advcl
24	statisíce	NOUN	23	obj
25	nových	ADJ	26	amod
26	investorů	NOUN	24	nmod
27	.	PUNCT	5	punct