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:
Nedostatek lidí, kteří umějí pracovat se dřevem, na trhu práce si firma Nekima uvědomuje zejména nyní, kdy by chtěla přijmout další zaměstnance s ohledem na zamýšlené rozšíření výroby.
Postion	Tokenization
1	Nedostatek
2	lidí
3	,
4	kteří
5	umějí
6	pracovat
7	se
8	dřevem
9	,
10	na
11	trhu
12	práce
13	si
14	firma
15	Nekima
16	uvědomuje
17	zejména
18	nyní
19	,
20	kdy
21	by
22	chtěla
23	přijmout
24	další
25	zaměstnance
26	s
27	ohledem
28	na
29	zamýšlené
30	rozšíření
31	výroby
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Nedostatek	NOUN	16	obj
2	lidí	NOUN	1	nmod
3	,	PUNCT	5	punct
4	kteří	DET	5	nsubj
5	umějí	VERB	2	acl:relcl
6	pracovat	VERB	5	xcomp
7	se	ADP	8	case
8	dřevem	NOUN	6	obl:arg
9	,	PUNCT	5	punct
10	na	ADP	11	case
11	trhu	NOUN	1	nmod
12	práce	NOUN	11	nmod
13	si	PRON	16	expl:pv
14	firma	NOUN	16	nsubj
15	Nekima	PROPN	14	nmod
16	uvědomuje	VERB	0	root
17	zejména	ADV	18	advmod:emph
18	nyní	ADV	16	advmod
19	,	PUNCT	22	punct
20	kdy	ADV	22	advmod
21	by	AUX	22	aux
22	chtěla	VERB	16	advcl
23	přijmout	VERB	22	xcomp
24	další	ADJ	25	amod
25	zaměstnance	NOUN	23	obj
26	s	ADP	30	case
27	ohledem	NOUN	26	fixed
28	na	ADP	26	fixed
29	zamýšlené	ADJ	30	amod
30	rozšíření	NOUN	23	obl
31	výroby	NOUN	30	nmod
32	.	PUNCT	16	punct