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 text: Zvýšená aktivita obchodníků, kteří využívají velmi atraktivních, čti nízkých, cen akcií našich nejperspektivnějších podniků, včera pomohla burze dosáhnout nejvyššího únorového objemu obchodu, bezmála 581 mil. Kč.
Position	Tokenization	UPOS	Head	Deprel
1	Zvýšená	ADJ	2	amod
2	aktivita	NOUN	20	nsubj
3	obchodníků	NOUN	2	nmod
4	,	PUNCT	6	punct
5	kteří	DET	6	nsubj
6	využívají	VERB	3	acl:relcl
7	velmi	ADV	8	advmod
8	atraktivních	ADJ	13	amod
9	,	PUNCT	10	punct
10	čti	VERB	13	parataxis
11	nízkých	ADJ	10	obl
12	,	PUNCT	10	punct
13	cen	NOUN	6	obl:arg
14	akcií	NOUN	13	nmod
15	našich	DET	17	det
16	nejperspektivnějších	ADJ	17	amod
17	podniků	NOUN	14	nmod
18	,	PUNCT	6	punct
19	včera	ADV	20	advmod
20	pomohla	VERB	0	root
21	burze	NOUN	20	obl:arg
22	dosáhnout	VERB	20	xcomp
23	nejvyššího	ADJ	25	amod
24	únorového	ADJ	25	amod
25	objemu	NOUN	22	obl:arg
26	obchodu	NOUN	25	nmod
27	,	PUNCT	32	punct
28	bezmála	ADV	30	advmod
29	581	NUM	30	nummod
30	mil	NOUN	32	nmod
31	.	PUNCT	30	punct
32	Kč	NOUN	25	nmod
33	.	PUNCT	20	punct