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:
Podle P. Brůžka však stavebnictví nabízí perspektivy i méně kvalifikovaným lidem, o které právě pro nedostatek odborných znalostí nejeví zájem podnikatelé v jiných odvětvích a kteří představují velkou část nezaměstnaných.
Postion	Tokenization
1	Podle
2	P
3	.
4	Brůžka
5	však
6	stavebnictví
7	nabízí
8	perspektivy
9	i
10	méně
11	kvalifikovaným
12	lidem
13	,
14	o
15	které
16	právě
17	pro
18	nedostatek
19	odborných
20	znalostí
21	nejeví
22	zájem
23	podnikatelé
24	v
25	jiných
26	odvětvích
27	a
28	kteří
29	představují
30	velkou
31	část
32	nezaměstnaných
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	P	PROPN	7	obl
3	.	PUNCT	2	punct
4	Brůžka	PROPN	2	flat
5	však	CCONJ	7	cc
6	stavebnictví	NOUN	7	nsubj
7	nabízí	VERB	0	root
8	perspektivy	NOUN	7	obj
9	i	CCONJ	12	advmod:emph
10	méně	ADV	11	advmod
11	kvalifikovaným	ADJ	12	amod
12	lidem	NOUN	7	obl:arg
13	,	PUNCT	21	punct
14	o	ADP	15	case
15	které	DET	22	det
16	právě	ADV	18	advmod:emph
17	pro	ADP	18	case
18	nedostatek	NOUN	21	obl
19	odborných	ADJ	20	amod
20	znalostí	NOUN	18	nmod
21	nejeví	VERB	12	acl
22	zájem	NOUN	21	obj
23	podnikatelé	NOUN	21	nsubj
24	v	ADP	26	case
25	jiných	ADJ	26	amod
26	odvětvích	NOUN	23	nmod
27	a	CCONJ	29	cc
28	kteří	DET	29	nsubj
29	představují	VERB	21	conj
30	velkou	ADJ	31	amod
31	část	NOUN	29	obj
32	nezaměstnaných	NOUN	31	nmod
33	.	PUNCT	7	punct