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:
14 - Percentage carbon dioxide emissions will increase over the next 10 years under Bush's own global-warming plan (an increase of 30 per cent above their 1990 levels).
Postion	Tokenization
1	14
2	-
3	Percentage
4	carbon
5	dioxide
6	emissions
7	will
8	increase
9	over
10	the
11	next
12	10
13	years
14	under
15	Bush's
16	Bush
17	's
18	own
19	global
20	-
21	warming
22	plan
23	(
24	an
25	increase
26	of
27	30
28	per
29	cent
30	above
31	their
32	1990
33	levels
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	14	NUM	0	root
2	-	PUNCT	1	punct
3	Percentage	NOUN	1	appos
4	carbon	NOUN	5	compound
5	dioxide	NOUN	6	compound
6	emissions	NOUN	8	nsubj
7	will	AUX	8	aux
8	increase	VERB	3	acl:relcl
9	over	ADP	13	case
10	the	DET	13	det
11	next	ADJ	13	amod
12	10	NUM	13	nummod
13	years	NOUN	8	obl
14	under	ADP	21	case
15	Bush's	_	None	_
16	Bush	PROPN	21	nmod:poss
17	's	PART	15	case
18	own	ADJ	21	amod
19	global	ADJ	20	amod
20	-	PUNCT	20	punct
21	warming	NOUN	21	compound
22	plan	NOUN	8	obl
23	(	PUNCT	24	punct
24	an	DET	24	det
25	increase	NOUN	3	appos
26	of	ADP	28	case
27	30	NUM	28	nummod
28	per	NOUN	28	compound
29	cent	NOUN	24	nmod
30	above	ADP	32	case
31	their	PRON	32	nmod:poss
32	1990	NUM	32	nmod:tmod
33	levels	NOUN	24	nmod
34	)	PUNCT	24	punct
35	.	PUNCT	1	punct