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 text: Expanze však nastala u pracovišť praktického vyučování (možnost, aby soukromá osoba zajišťovala praktickou přípravu učňů, kteří na teorii docházejí do některého z učilišť) - bylo jich schváleno téměř dva tisíce.
Position	Tokenization	UPOS	Head	Deprel
1	Expanze	NOUN	3	nsubj
2	však	CCONJ	3	cc
3	nastala	VERB	0	root
4	u	ADP	5	case
5	pracovišť	NOUN	3	obl
6	praktického	ADJ	7	amod
7	vyučování	NOUN	5	nmod
8	(	PUNCT	3	punct
9	možnost	NOUN	3	dep
10	,	PUNCT	15	punct
11	aby	_	None	_
12	aby	SCONJ	15	mark
13	by	AUX	15	aux
14	soukromá	ADJ	14	amod
15	osoba	NOUN	15	nsubj
16	zajišťovala	VERB	9	acl
17	praktickou	ADJ	17	amod
18	přípravu	NOUN	15	obj
19	učňů	NOUN	17	nmod
20	,	PUNCT	23	punct
21	kteří	DET	23	nsubj
22	na	ADP	22	case
23	teorii	NOUN	23	obl
24	docházejí	VERB	18	acl:relcl
25	do	ADP	25	case
26	některého	DET	23	obl
27	z	ADP	27	case
28	učilišť	NOUN	25	nmod
29	)	PUNCT	3	punct
30	-	PUNCT	32	punct
31	bylo	AUX	32	aux:pass
32	jich	PRON	35	nmod
33	schváleno	ADJ	3	conj
34	téměř	ADV	35	advmod:emph
35	dva	NUM	35	nummod
36	tisíce	NOUN	32	nsubj:pass
37	.	PUNCT	3	punct