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:
The creation of an incentive payment pool ( possibly via personal best awards ) for key Metals staff who continue to work exceptionally unsociable hours to meet the above stated objectives
Postion	Tokenization
1	The
2	creation
3	of
4	an
5	incentive
6	payment
7	pool
8	(
9	possibly
10	via
11	personal
12	best
13	awards
14	)
15	for
16	key
17	Metals
18	staff
19	who
20	continue
21	to
22	work
23	exceptionally
24	unsociable
25	hours
26	to
27	meet
28	the
29	above
30	stated
31	objectives
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	creation	NOUN	0	root
3	of	ADP	7	case
4	an	DET	7	det
5	incentive	NOUN	7	compound
6	payment	NOUN	7	compound
7	pool	NOUN	2	nmod
8	(	PUNCT	7	punct
9	possibly	ADV	13	advmod
10	via	ADP	13	case
11	personal	ADJ	13	amod
12	best	ADJ	13	amod
13	awards	NOUN	7	nmod
14	)	PUNCT	7	punct
15	for	ADP	18	case
16	key	ADJ	18	amod
17	Metals	PROPN	18	compound
18	staff	NOUN	7	nmod
19	who	PRON	20	nsubj
20	continue	VERB	18	acl:relcl
21	to	PART	22	mark
22	work	VERB	20	xcomp
23	exceptionally	ADV	24	advmod
24	unsociable	ADJ	25	amod
25	hours	NOUN	22	obj
26	to	PART	27	mark
27	meet	VERB	22	advcl
28	the	DET	31	det
29	above	ADV	30	advmod
30	stated	VERB	31	amod
31	objectives	NOUN	27	obj