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 Turquie, dont plusieurs ressortissants figureraient parmi les victimes, a accusé Israël d'avoir commis un acte de "terrorisme d'Etat" et rappelé son ambassadeur à Tel-Aviv.
Postion	Tokenization
1	La
2	Turquie
3	,
4	dont
5	plusieurs
6	ressortissants
7	figureraient
8	parmi
9	les
10	victimes
11	,
12	a
13	accusé
14	Israël
15	d'
16	avoir
17	commis
18	un
19	acte
20	de
21	"
22	terrorisme
23	d'
24	Etat
25	"
26	et
27	rappelé
28	son
29	ambassadeur
30	à
31	Tel-Aviv
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Turquie	PROPN	13	nsubj
3	,	PUNCT	7	punct
4	dont	PRON	6	nmod
5	plusieurs	DET	6	det
6	ressortissants	NOUN	7	nsubj
7	figureraient	VERB	2	acl:relcl
8	parmi	ADP	10	case
9	les	DET	10	det
10	victimes	NOUN	7	obl:mod
11	,	PUNCT	7	punct
12	a	AUX	13	aux:tense
13	accusé	VERB	0	root
14	Israël	PROPN	13	obj
15	d'	ADP	17	mark
16	avoir	AUX	17	aux:tense
17	commis	VERB	13	xcomp:obl
18	un	DET	19	det
19	acte	NOUN	17	obj
20	de	ADP	22	case
21	"	PUNCT	22	punct
22	terrorisme	NOUN	19	nmod
23	d'	ADP	24	case
24	Etat	NOUN	22	nmod
25	"	PUNCT	22	punct
26	et	CCONJ	27	cc
27	rappelé	VERB	13	conj
28	son	DET	29	det
29	ambassadeur	NOUN	27	obj
30	à	ADP	31	case
31	Tel-Aviv	PROPN	29	nmod
32	.	PUNCT	13	punct