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:
Vždyť z první vlny je kolem nás dost příkladů toho, že mnozí individuální akcionáři zhodnotili své akcie vysoko nad částky uváděné v reklamních sloganech fondů.
Postion	Tokenization
1	Vždyť
2	z
3	první
4	vlny
5	je
6	kolem
7	nás
8	dost
9	příkladů
10	toho
11	,
12	že
13	mnozí
14	individuální
15	akcionáři
16	zhodnotili
17	své
18	akcie
19	vysoko
20	nad
21	částky
22	uváděné
23	v
24	reklamních
25	sloganech
26	fondů
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Vždyť	CCONJ	5	cc
2	z	ADP	4	case
3	první	ADJ	4	amod
4	vlny	NOUN	5	obl
5	je	VERB	0	root
6	kolem	ADP	7	case
7	nás	PRON	5	obl
8	dost	ADV	5	nsubj
9	příkladů	NOUN	8	nmod
10	toho	DET	9	det
11	,	PUNCT	16	punct
12	že	SCONJ	16	mark
13	mnozí	ADJ	15	amod
14	individuální	ADJ	15	amod
15	akcionáři	NOUN	16	nsubj
16	zhodnotili	VERB	10	acl
17	své	DET	18	det
18	akcie	NOUN	16	obj
19	vysoko	ADV	16	advmod
20	nad	ADP	21	case
21	částky	NOUN	19	obl
22	uváděné	ADJ	21	amod
23	v	ADP	25	case
24	reklamních	ADJ	25	amod
25	sloganech	NOUN	22	obl
26	fondů	NOUN	25	nmod
27	.	PUNCT	5	punct