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:
Hidden in this laundry list -- and in the pile of studies examined by the Pew researchers -- is one of the fundamental chasms dividing participants in the global warming debate.
Postion	Tokenization
1	Hidden
2	in
3	this
4	laundry
5	list
6	--
7	and
8	in
9	the
10	pile
11	of
12	studies
13	examined
14	by
15	the
16	Pew
17	researchers
18	--
19	is
20	one
21	of
22	the
23	fundamental
24	chasms
25	dividing
26	participants
27	in
28	the
29	global
30	warming
31	debate
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Hidden	VERB	0	root
2	in	ADP	5	case
3	this	DET	5	det
4	laundry	NOUN	5	compound
5	list	NOUN	1	obl
6	--	PUNCT	5	punct
7	and	CCONJ	10	cc
8	in	ADP	10	case
9	the	DET	10	det
10	pile	NOUN	5	conj
11	of	ADP	12	case
12	studies	NOUN	10	nmod
13	examined	VERB	10	acl
14	by	ADP	17	case
15	the	DET	17	det
16	Pew	PROPN	17	compound
17	researchers	NOUN	13	obl
18	--	PUNCT	1	punct
19	is	AUX	1	aux:pass
20	one	NUM	1	nsubj:pass
21	of	ADP	24	case
22	the	DET	24	det
23	fundamental	ADJ	24	amod
24	chasms	NOUN	20	nmod
25	dividing	VERB	24	acl
26	participants	NOUN	25	obj
27	in	ADP	31	case
28	the	DET	31	det
29	global	ADJ	30	amod
30	warming	NOUN	31	compound
31	debate	NOUN	26	nmod
32	.	PUNCT	1	punct