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:
Nejvíce se obchoduje s CP Harvardského dividendového IF, Harvardského růstového IF, IPF Komerční banky, IF rychlého výnosu, IF YSE, Spořitelním privatizačním a Bankovním IF.
Postion	Tokenization
1	Nejvíce
2	se
3	obchoduje
4	s
5	CP
6	Harvardského
7	dividendového
8	IF
9	,
10	Harvardského
11	růstového
12	IF
13	,
14	IPF
15	Komerční
16	banky
17	,
18	IF
19	rychlého
20	výnosu
21	,
22	IF
23	YSE
24	,
25	Spořitelním
26	privatizačním
27	a
28	Bankovním
29	IF
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejvíce	ADV	3	advmod
2	se	PRON	3	expl:pass
3	obchoduje	VERB	0	root
4	s	ADP	5	case
5	CP	NOUN	3	obl:arg
6	Harvardského	ADJ	8	amod
7	dividendového	ADJ	8	amod
8	IF	PROPN	5	nmod
9	,	PUNCT	12	punct
10	Harvardského	ADJ	12	amod
11	růstového	ADJ	12	amod
12	IF	PROPN	8	conj
13	,	PUNCT	14	punct
14	IPF	PROPN	8	conj
15	Komerční	ADJ	16	amod
16	banky	NOUN	14	nmod
17	,	PUNCT	18	punct
18	IF	PROPN	8	conj
19	rychlého	ADJ	20	amod
20	výnosu	NOUN	18	nmod
21	,	PUNCT	22	punct
22	IF	PROPN	8	conj
23	YSE	PROPN	22	nmod
24	,	PUNCT	29	punct
25	Spořitelním	ADJ	29	amod
26	privatizačním	ADJ	25	conj
27	a	CCONJ	28	cc
28	Bankovním	ADJ	25	conj
29	IF	PROPN	5	conj
30	.	PUNCT	3	punct