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:
Na českých gymnáziích studuje 111000 studentů, na středních odborných školách a konzervatořích 141000 studentů a 303000 mladých lidí navštěvuje střední odborná učiliště.
Postion	Tokenization
1	Na
2	českých
3	gymnáziích
4	studuje
5	111000
6	studentů
7	_
8	,
9	na
10	středních
11	odborných
12	školách
13	a
14	konzervatořích
15	141000
16	studentů
17	a
18	303000
19	mladých
20	lidí
21	navštěvuje
22	střední
23	odborná
24	učiliště
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	českých	ADJ	3	amod
3	gymnáziích	NOUN	4	obl
4	studuje	VERB	0	root
5	111000	NUM	6	nummod:gov
6	studentů	NOUN	4	nsubj
7	_	_	None	_
8	,	PUNCT	11	punct
9	na	ADP	11	case
10	středních	ADJ	11	amod
11	odborných	ADJ	11	amod
12	školách	NOUN	4	conj
13	a	CCONJ	13	cc
14	konzervatořích	NOUN	11	conj
15	141000	NUM	15	nummod:gov
16	studentů	NOUN	11	orphan
17	a	CCONJ	20	cc
18	303000	NUM	19	nummod:gov
19	mladých	ADJ	19	amod
20	lidí	NOUN	20	nsubj
21	navštěvuje	VERB	4	conj
22	střední	ADJ	23	amod
23	odborná	ADJ	23	amod
24	učiliště	NOUN	20	obj
25	.	PUNCT	4	punct