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:
La région des Alpilles reçoit davantage de précipitations que le littoral de la Méditerranée : 500 mm/an en Camargue contre 600 à 700 mm/an pour les Alpilles.
Postion	Tokenization
1	La
2	région
3	des
4	de
5	les
6	Alpilles
7	reçoit
8	davantage
9	de
10	précipitations
11	que
12	le
13	littoral
14	de
15	la
16	Méditerranée
17	:
18	500
19	mm
20	/
21	an
22	en
23	Camargue
24	contre
25	600
26	à
27	700
28	mm
29	/
30	an
31	pour
32	les
33	Alpilles
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	région	NOUN	6	nsubj
3	des	_	None	_
4	de	ADP	5	case
5	les	DET	5	det
6	Alpilles	PROPN	2	nmod
7	reçoit	VERB	0	root
8	davantage	ADV	6	obj
9	de	ADP	9	case
10	précipitations	NOUN	7	dep:comp
11	que	SCONJ	12	case
12	le	DET	12	det
13	littoral	NOUN	7	obj
14	de	ADP	15	case
15	la	DET	15	det
16	Méditerranée	PROPN	12	nmod
17	:	PUNCT	18	punct
18	500	NUM	18	nummod
19	mm	NOUN	7	appos
20	/	SYM	20	cc
21	an	NOUN	18	conj
22	en	ADP	22	case
23	Camargue	PROPN	18	nmod
24	contre	ADP	27	case
25	600	NUM	27	nummod
26	à	ADP	26	case
27	700	NUM	24	nmod
28	mm	NOUN	18	nmod
29	/	SYM	29	cc
30	an	NOUN	27	conj
31	pour	ADP	32	case
32	les	DET	32	det
33	Alpilles	PROPN	27	nmod
34	.	PUNCT	6	punct