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:
According to many scientists, the early results of global warming—90 degree Fahrenheit water temperatures in the Gulf and rising sea levels—may have exacerbated the destructive power of Katrina.
Postion	Tokenization
1	According
2	to
3	many
4	scientists
5	,
6	the
7	early
8	results
9	of
10	global
11	warming
12	—
13	90
14	degree
15	Fahrenheit
16	water
17	temperatures
18	in
19	the
20	Gulf
21	and
22	rising
23	sea
24	levels
25	—
26	may
27	have
28	exacerbated
29	the
30	destructive
31	power
32	of
33	Katrina
34	.
Position	Tokenization	UPOS	Head	Deprel
1	According	VERB	4	case
2	to	ADP	4	case
3	many	ADJ	4	amod
4	scientists	NOUN	28	obl
5	,	PUNCT	28	punct
6	the	DET	8	det
7	early	ADJ	8	amod
8	results	NOUN	28	nsubj
9	of	ADP	11	case
10	global	ADJ	11	amod
11	warming	NOUN	8	nmod
12	—	PUNCT	8	punct
13	90	NUM	14	nummod
14	degree	NOUN	15	compound
15	Fahrenheit	PROPN	17	compound
16	water	NOUN	17	compound
17	temperatures	NOUN	8	appos
18	in	ADP	20	case
19	the	DET	20	det
20	Gulf	NOUN	17	nmod
21	and	CCONJ	24	cc
22	rising	VERB	24	amod
23	sea	NOUN	24	compound
24	levels	NOUN	17	conj
25	—	PUNCT	28	punct
26	may	AUX	28	aux
27	have	AUX	28	aux
28	exacerbated	VERB	0	root
29	the	DET	31	det
30	destructive	ADJ	31	amod
31	power	NOUN	28	obj
32	of	ADP	33	case
33	Katrina	PROPN	31	nmod
34	.	PUNCT	28	punct