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:
Svůj obdiv k helénistické epoše starého Řecka vyjádřil v originálním pojetí výchovy v přírodě obsaženém v projektu Gymnasion, určeném mladým lidem od 17 do 25 let.
Postion	Tokenization
1	Svůj
2	obdiv
3	k
4	helénistické
5	epoše
6	starého
7	Řecka
8	vyjádřil
9	v
10	originálním
11	pojetí
12	výchovy
13	v
14	přírodě
15	obsaženém
16	v
17	projektu
18	Gymnasion
19	,
20	určeném
21	mladým
22	lidem
23	od
24	17
25	do
26	25
27	let
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Svůj	DET	2	det
2	obdiv	NOUN	8	obj
3	k	ADP	5	case
4	helénistické	ADJ	5	amod
5	epoše	NOUN	2	nmod
6	starého	ADJ	7	amod
7	Řecka	PROPN	5	nmod
8	vyjádřil	VERB	0	root
9	v	ADP	11	case
10	originálním	ADJ	11	amod
11	pojetí	NOUN	8	obl
12	výchovy	NOUN	11	nmod
13	v	ADP	14	case
14	přírodě	NOUN	12	nmod
15	obsaženém	ADJ	11	amod
16	v	ADP	17	case
17	projektu	NOUN	15	obl
18	Gymnasion	PROPN	17	nmod
19	,	PUNCT	20	punct
20	určeném	ADJ	17	amod
21	mladým	ADJ	22	amod
22	lidem	NOUN	20	obl:arg
23	od	ADP	24	case
24	17	NUM	22	dep
25	do	ADP	27	case
26	25	NUM	27	nummod
27	let	NOUN	22	nmod
28	.	PUNCT	8	punct