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:
Přesto bychom zřejmě mnohým škodovákům zejména z dělnických profesí mohli pracovní příležitosti nabídnout," soudí zástupce ředitele Úřadu práce v Plzni Josef Hafner.
Postion	Tokenization
1	Přesto
2	bychom
3	zřejmě
4	mnohým
5	škodovákům
6	zejména
7	z
8	dělnických
9	profesí
10	mohli
11	pracovní
12	příležitosti
13	nabídnout
14	,
15	"
16	soudí
17	zástupce
18	ředitele
19	Úřadu
20	práce
21	v
22	Plzni
23	Josef
24	Hafner
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Přesto	ADV	10	advmod
2	bychom	AUX	10	aux
3	zřejmě	ADV	10	advmod
4	mnohým	ADJ	5	amod
5	škodovákům	NOUN	13	obl:arg
6	zejména	ADV	9	advmod:emph
7	z	ADP	9	case
8	dělnických	ADJ	9	amod
9	profesí	NOUN	5	nmod
10	mohli	VERB	16	ccomp
11	pracovní	ADJ	12	amod
12	příležitosti	NOUN	13	obj
13	nabídnout	VERB	10	xcomp
14	,	PUNCT	10	punct
15	"	PUNCT	10	punct
16	soudí	VERB	0	root
17	zástupce	NOUN	16	nsubj
18	ředitele	NOUN	17	nmod
19	Úřadu	NOUN	18	nmod
20	práce	NOUN	19	nmod
21	v	ADP	22	case
22	Plzni	PROPN	19	nmod
23	Josef	PROPN	17	flat
24	Hafner	PROPN	17	flat
25	.	PUNCT	16	punct