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:
Zatímco dříve se na dělnická povolání připravovala asi polovina jednotlivých populačních ročníků, dnes, kdy narůstá význam sféry služeb, se podíl klasických učňů snižuje.
Postion	Tokenization
1	Zatímco
2	dříve
3	se
4	na
5	dělnická
6	povolání
7	připravovala
8	asi
9	polovina
10	jednotlivých
11	populačních
12	ročníků
13	,
14	dnes
15	,
16	kdy
17	narůstá
18	význam
19	sféry
20	služeb
21	,
22	se
23	podíl
24	klasických
25	učňů
26	snižuje
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Zatímco	SCONJ	7	mark
2	dříve	ADV	7	advmod
3	se	PRON	7	expl:pass
4	na	ADP	6	case
5	dělnická	ADJ	6	amod
6	povolání	NOUN	7	obl:arg
7	připravovala	VERB	26	advcl
8	asi	PART	9	advmod:emph
9	polovina	NOUN	7	nsubj:pass
10	jednotlivých	ADJ	12	amod
11	populačních	ADJ	12	amod
12	ročníků	NOUN	9	nmod
13	,	PUNCT	7	punct
14	dnes	ADV	26	advmod
15	,	PUNCT	17	punct
16	kdy	ADV	17	advmod
17	narůstá	VERB	14	advcl
18	význam	NOUN	17	nsubj
19	sféry	NOUN	18	nmod
20	služeb	NOUN	19	nmod
21	,	PUNCT	17	punct
22	se	PRON	26	expl:pv
23	podíl	NOUN	26	nsubj
24	klasických	ADJ	25	amod
25	učňů	NOUN	23	nmod
26	snižuje	VERB	0	root
27	.	PUNCT	26	punct