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:
Selon des études du Giec, sous l'effet du réchauffement climatique, les glaciers alpins ont perdu entre 20 et 30% de leur volume depuis 1980.
Postion	Tokenization
1	Selon
2	des
3	études
4	du
5	de
6	le
7	Giec
8	,
9	sous
10	l'
11	effet
12	du
13	de
14	le
15	réchauffement
16	climatique
17	,
18	les
19	glaciers
20	alpins
21	ont
22	perdu
23	entre
24	20
25	et
26	30
27	%
28	de
29	leur
30	volume
31	depuis
32	1980
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Selon	ADP	3	case
2	des	DET	3	det
3	études	NOUN	20	obl:mod
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	Giec	PROPN	3	nmod
8	,	PUNCT	3	punct
9	sous	ADP	10	case
10	l'	DET	10	det
11	effet	NOUN	20	obl:mod
12	du	_	None	_
13	de	ADP	13	case
14	le	DET	13	det
15	réchauffement	NOUN	10	nmod
16	climatique	ADJ	13	amod
17	,	PUNCT	10	punct
18	les	DET	17	det
19	glaciers	NOUN	20	nsubj
20	alpins	ADJ	17	amod
21	ont	AUX	20	aux:tense
22	perdu	VERB	0	root
23	entre	ADP	25	case
24	20	NUM	25	nummod
25	et	CCONJ	24	cc
26	30	NUM	22	conj
27	%	SYM	20	obl:mod
28	de	ADP	28	case
29	leur	DET	28	det
30	volume	NOUN	25	nmod
31	depuis	ADP	30	case
32	1980	NUM	20	obl:mod
33	.	PUNCT	20	punct