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:
In the world press, commentators predict that Katrina will make a profound change in the way the US is perceived at home and abroad, especially following the scenes of poverty and racial divisions they believe the disaster has revealed.
Postion	Tokenization
1	In
2	the
3	world
4	press
5	,
6	commentators
7	predict
8	that
9	Katrina
10	will
11	make
12	a
13	profound
14	change
15	in
16	the
17	way
18	the
19	US
20	is
21	perceived
22	at
23	home
24	and
25	abroad
26	,
27	especially
28	following
29	the
30	scenes
31	of
32	poverty
33	and
34	racial
35	divisions
36	they
37	believe
38	the
39	disaster
40	has
41	revealed
42	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	4	case
2	the	DET	4	det
3	world	NOUN	4	compound
4	press	NOUN	7	obl
5	,	PUNCT	7	punct
6	commentators	NOUN	7	nsubj
7	predict	VERB	0	root
8	that	SCONJ	11	mark
9	Katrina	PROPN	11	nsubj
10	will	AUX	11	aux
11	make	VERB	7	ccomp
12	a	DET	14	det
13	profound	ADJ	14	amod
14	change	NOUN	11	obj
15	in	ADP	17	case
16	the	DET	17	det
17	way	NOUN	14	nmod
18	the	DET	19	det
19	US	PROPN	21	nsubj:pass
20	is	AUX	21	aux:pass
21	perceived	VERB	17	acl:relcl
22	at	ADP	23	case
23	home	NOUN	21	obl
24	and	CCONJ	25	cc
25	abroad	ADV	23	conj
26	,	PUNCT	11	punct
27	especially	ADV	30	advmod
28	following	VERB	30	case
29	the	DET	30	det
30	scenes	NOUN	11	obl
31	of	ADP	32	case
32	poverty	NOUN	30	nmod
33	and	CCONJ	35	cc
34	racial	ADJ	35	amod
35	divisions	NOUN	32	conj
36	they	PRON	37	nsubj
37	believe	VERB	30	acl:relcl
38	the	DET	39	det
39	disaster	NOUN	41	nsubj
40	has	AUX	41	aux
41	revealed	VERB	37	ccomp
42	.	PUNCT	7	punct