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:
Compact's Corona dryers remove at least twice as much water as the previous dryers, allowing a production increase of over 10% and a significant energy saving.
Postion	Tokenization
1	Compact's
2	Compact
3	's
4	Corona
5	dryers
6	remove
7	at
8	least
9	twice
10	as
11	much
12	water
13	as
14	the
15	previous
16	dryers
17	,
18	allowing
19	a
20	production
21	increase
22	of
23	over
24	10
25	%
26	and
27	a
28	significant
29	energy
30	saving
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Compact's	_	None	_
2	Compact	PROPN	4	nmod:poss
3	's	PART	1	case
4	Corona	PROPN	4	compound
5	dryers	NOUN	5	nsubj
6	remove	VERB	0	root
7	at	ADV	7	case
8	least	ADV	8	obl
9	twice	ADV	9	advmod
10	as	ADV	10	advmod
11	much	ADJ	11	amod
12	water	NOUN	5	obj
13	as	ADP	15	case
14	the	DET	15	det
15	previous	ADJ	15	amod
16	dryers	NOUN	7	obl
17	,	PUNCT	5	punct
18	allowing	VERB	5	advcl
19	a	DET	20	det
20	production	NOUN	20	compound
21	increase	NOUN	17	obj
22	of	ADP	24	case
23	over	ADP	23	advmod
24	10	NUM	24	nummod
25	%	SYM	20	nmod
26	and	CCONJ	29	cc
27	a	DET	29	det
28	significant	ADJ	29	amod
29	energy	NOUN	29	compound
30	saving	NOUN	20	conj
31	.	PUNCT	5	punct