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:
Ve Střední policejní škole ministerstva vnitra v Holešově zaměřené na bezpečnostně právní činnost letos studuje 340 adeptů z celé ČR ve věku od čtrnácti do osmnácti let.
Postion	Tokenization
1	Ve
2	Střední
3	policejní
4	škole
5	ministerstva
6	vnitra
7	v
8	Holešově
9	zaměřené
10	na
11	bezpečnostně
12	právní
13	činnost
14	letos
15	studuje
16	340
17	adeptů
18	z
19	celé
20	ČR
21	ve
22	věku
23	od
24	čtrnácti
25	do
26	osmnácti
27	let
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	4	case
2	Střední	ADJ	4	amod
3	policejní	ADJ	4	amod
4	škole	NOUN	15	obl
5	ministerstva	NOUN	4	nmod
6	vnitra	NOUN	5	nmod
7	v	ADP	8	case
8	Holešově	PROPN	4	nmod
9	zaměřené	ADJ	4	amod
10	na	ADP	13	case
11	bezpečnostně	ADV	12	advmod
12	právní	ADJ	13	amod
13	činnost	NOUN	9	obl:arg
14	letos	ADV	15	advmod
15	studuje	VERB	0	root
16	340	NUM	17	nummod:gov
17	adeptů	NOUN	15	nsubj
18	z	ADP	20	case
19	celé	ADJ	20	amod
20	ČR	PROPN	17	nmod
21	ve	ADP	22	case
22	věku	NOUN	17	nmod
23	od	ADP	24	case
24	čtrnácti	NUM	22	dep
25	do	ADP	27	case
26	osmnácti	NUM	27	nummod
27	let	NOUN	22	nmod
28	.	PUNCT	15	punct