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:
1 - Number of paragraphs devoted to global warming in the EPA's 600-page "Draft Report on the Environment" presented in 2003.
Postion	Tokenization
1	1
2	-
3	Number
4	of
5	paragraphs
6	devoted
7	to
8	global
9	warming
10	in
11	the
12	EPA's
13	EPA
14	's
15	600
16	-
17	page
18	"
19	Draft
20	Report
21	on
22	the
23	Environment
24	"
25	presented
26	in
27	2003
28	.
Position	Tokenization	UPOS	Head	Deprel
1	1	NUM	0	root
2	-	PUNCT	1	punct
3	Number	NOUN	1	appos
4	of	ADP	5	case
5	paragraphs	NOUN	3	nmod
6	devoted	VERB	5	acl
7	to	ADP	9	case
8	global	ADJ	9	amod
9	warming	NOUN	6	obl
10	in	ADP	19	case
11	the	DET	12	det
12	EPA's	_	None	_
13	EPA	PROPN	19	nmod:poss
14	's	PART	12	case
15	600	NUM	16	nummod
16	-	PUNCT	16	punct
17	page	NOUN	19	compound
18	"	PUNCT	19	punct
19	Draft	NOUN	19	compound
20	Report	NOUN	6	obl
21	on	ADP	22	case
22	the	DET	22	det
23	Environment	NOUN	19	nmod
24	"	PUNCT	19	punct
25	presented	VERB	19	acl
26	in	ADP	26	case
27	2003	NUM	24	obl
28	.	PUNCT	1	punct