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:
Základní jmění fondu, jehož zakladatelem je se stoprocentní majetkovou účastí Harvard Group, činí 25 miliónů Kč, přičemž rezervní fond dosahuje dalších pěti miliónů Kč.
Postion	Tokenization
1	Základní
2	jmění
3	fondu
4	,
5	jehož
6	zakladatelem
7	je
8	se
9	stoprocentní
10	majetkovou
11	účastí
12	Harvard
13	Group
14	,
15	činí
16	25
17	miliónů
18	Kč
19	,
20	přičemž
21	rezervní
22	fond
23	dosahuje
24	dalších
25	pěti
26	miliónů
27	Kč
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Základní	ADJ	2	amod
2	jmění	NOUN	15	nsubj
3	fondu	NOUN	2	nmod
4	,	PUNCT	6	punct
5	jehož	PRON	6	nmod
6	zakladatelem	NOUN	3	acl:relcl
7	je	AUX	6	cop
8	se	ADP	11	case
9	stoprocentní	ADJ	11	amod
10	majetkovou	ADJ	11	amod
11	účastí	NOUN	6	obl
12	Harvard	PROPN	13	nmod
13	Group	PROPN	6	nsubj
14	,	PUNCT	6	punct
15	činí	VERB	0	root
16	25	NUM	17	nummod:gov
17	miliónů	NOUN	15	obj
18	Kč	NOUN	17	nmod
19	,	PUNCT	23	punct
20	přičemž	ADV	23	advmod
21	rezervní	ADJ	22	amod
22	fond	NOUN	23	nsubj
23	dosahuje	VERB	15	conj
24	dalších	ADJ	26	amod
25	pěti	NUM	26	nummod
26	miliónů	NOUN	23	obl:arg
27	Kč	NOUN	26	nmod
28	.	PUNCT	15	punct