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:
Il y aurait aujourd'hui 150.000 chrétiens en Israël soit environ 2% de la population (mais selon certains le double) et 50.000 en territoire palestinien (soit 1,2%).
Postion	Tokenization
1	Il
2	y
3	aurait
4	aujourd'hui
5	150.000
6	chrétiens
7	en
8	Israël
9	soit
10	environ
11	2
12	%
13	de
14	la
15	population
16	(
17	mais
18	selon
19	certains
20	le
21	double
22	)
23	et
24	50.000
25	en
26	territoire
27	palestinien
28	(
29	soit
30	1,2
31	%
32	)
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	expl:subj
2	y	PRON	3	dep:comp
3	aurait	VERB	0	root
4	aujourd'hui	ADV	3	advmod
5	150.000	NUM	6	nummod
6	chrétiens	NOUN	3	obj
7	en	ADP	8	case
8	Israël	PROPN	6	nmod
9	soit	ADV	12	advmod
10	environ	ADV	11	advmod
11	2	NUM	12	nummod
12	%	SYM	6	appos
13	de	ADP	15	case
14	la	DET	15	det
15	population	NOUN	12	nmod
16	(	PUNCT	21	punct
17	mais	CCONJ	21	cc
18	selon	ADP	19	case
19	certains	PRON	21	nmod
20	le	DET	21	det
21	double	NOUN	6	conj
22	)	PUNCT	21	punct
23	et	CCONJ	24	cc
24	50.000	NUM	6	conj
25	en	ADP	26	case
26	territoire	NOUN	24	nmod
27	palestinien	ADJ	26	amod
28	(	PUNCT	31	punct
29	soit	ADV	31	advmod
30	1,2	NUM	31	nummod
31	%	SYM	24	appos
32	)	PUNCT	31	punct
33	.	PUNCT	3	punct