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:
Za hlavní důvody jejich těžšího uplatnění na trhu práce označil nesoulad profesní struktury učebních oborů a požadavků na trhu práce, nedostatečnou praxi v oboru a absenci základních pracovních návyků.
Postion	Tokenization
1	Za
2	hlavní
3	důvody
4	jejich
5	těžšího
6	uplatnění
7	na
8	trhu
9	práce
10	označil
11	nesoulad
12	profesní
13	struktury
14	učebních
15	oborů
16	a
17	požadavků
18	na
19	trhu
20	práce
21	,
22	nedostatečnou
23	praxi
24	v
25	oboru
26	a
27	absenci
28	základních
29	pracovních
30	návyků
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	3	case
2	hlavní	ADJ	3	amod
3	důvody	NOUN	10	obl:arg
4	jejich	DET	6	det
5	těžšího	ADJ	6	amod
6	uplatnění	NOUN	3	nmod
7	na	ADP	8	case
8	trhu	NOUN	6	nmod
9	práce	NOUN	8	nmod
10	označil	VERB	0	root
11	nesoulad	NOUN	10	obj
12	profesní	ADJ	13	amod
13	struktury	NOUN	11	nmod
14	učebních	ADJ	15	amod
15	oborů	NOUN	13	nmod
16	a	CCONJ	17	cc
17	požadavků	NOUN	13	conj
18	na	ADP	19	case
19	trhu	NOUN	17	nmod
20	práce	NOUN	19	nmod
21	,	PUNCT	23	punct
22	nedostatečnou	ADJ	23	amod
23	praxi	NOUN	11	conj
24	v	ADP	25	case
25	oboru	NOUN	23	nmod
26	a	CCONJ	27	cc
27	absenci	NOUN	11	conj
28	základních	ADJ	30	amod
29	pracovních	ADJ	30	amod
30	návyků	NOUN	27	nmod
31	.	PUNCT	10	punct