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:
Současný vývoj údajně potvrzuje, že naopak kvalifikovaní absolventi, jejichž studijní obor odpovídá požadavkům trhu práce, nemají s pracovním uplatněním problémy.
Postion	Tokenization
1	Současný
2	vývoj
3	údajně
4	potvrzuje
5	,
6	že
7	naopak
8	kvalifikovaní
9	absolventi
10	,
11	jejichž
12	studijní
13	obor
14	odpovídá
15	požadavkům
16	trhu
17	práce
18	,
19	nemají
20	s
21	pracovním
22	uplatněním
23	problémy
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Současný	ADJ	2	amod
2	vývoj	NOUN	4	nsubj
3	údajně	ADV	4	advmod
4	potvrzuje	VERB	0	root
5	,	PUNCT	19	punct
6	že	SCONJ	19	mark
7	naopak	ADV	19	advmod
8	kvalifikovaní	ADJ	9	amod
9	absolventi	NOUN	19	nsubj
10	,	PUNCT	14	punct
11	jejichž	DET	13	det
12	studijní	ADJ	13	amod
13	obor	NOUN	14	nsubj
14	odpovídá	VERB	9	acl:relcl
15	požadavkům	NOUN	14	obl:arg
16	trhu	NOUN	15	nmod
17	práce	NOUN	16	nmod
18	,	PUNCT	14	punct
19	nemají	VERB	4	ccomp
20	s	ADP	22	case
21	pracovním	ADJ	22	amod
22	uplatněním	NOUN	19	obl
23	problémy	NOUN	19	obj
24	.	PUNCT	4	punct