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:
"Half of the studies provide strong evidence of a causal link between the biological change and climate change," said Camille Parmesan, a University of Texas-Austin biologist and one of the world's leading experts on this issue.
Postion	Tokenization
1	"
2	Half
3	of
4	the
5	studies
6	provide
7	strong
8	evidence
9	of
10	a
11	causal
12	link
13	between
14	the
15	biological
16	change
17	and
18	climate
19	change
20	,
21	"
22	said
23	Camille
24	Parmesan
25	,
26	a
27	University
28	of
29	Texas
30	-
31	Austin
32	biologist
33	and
34	one
35	of
36	the
37	world's
38	world
39	's
40	leading
41	experts
42	on
43	this
44	issue
45	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	22	punct
2	Half	NOUN	6	nsubj
3	of	ADP	5	case
4	the	DET	5	det
5	studies	NOUN	2	nmod
6	provide	VERB	22	ccomp
7	strong	ADJ	8	amod
8	evidence	NOUN	6	obj
9	of	ADP	12	case
10	a	DET	12	det
11	causal	ADJ	12	amod
12	link	NOUN	8	nmod
13	between	ADP	16	case
14	the	DET	16	det
15	biological	ADJ	16	amod
16	change	NOUN	12	nmod
17	and	CCONJ	19	cc
18	climate	NOUN	19	compound
19	change	NOUN	16	conj
20	,	PUNCT	22	punct
21	"	PUNCT	22	punct
22	said	VERB	0	root
23	Camille	PROPN	22	nsubj
24	Parmesan	PROPN	23	flat
25	,	PUNCT	23	punct
26	a	DET	32	det
27	University	PROPN	32	compound
28	of	ADP	29	case
29	Texas	PROPN	27	nmod
30	-	PUNCT	27	punct
31	Austin	PROPN	27	appos
32	biologist	NOUN	23	appos
33	and	CCONJ	34	cc
34	one	NUM	32	conj
35	of	ADP	40	case
36	the	DET	37	det
37	world's	_	None	_
38	world	NOUN	40	nmod:poss
39	's	PART	37	case
40	leading	VERB	40	amod
41	experts	NOUN	34	nmod
42	on	ADP	43	case
43	this	DET	43	det
44	issue	NOUN	40	nmod
45	.	PUNCT	22	punct