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 proportion de ces couples (appelés endogames) était la plus forte chez les immigrés turcs, phénomène que l'on rencontre un peu partout en Europe au sein des originaires de Turquie.
Postion	Tokenization
1	La
2	proportion
3	de
4	ces
5	couples
6	(
7	appelés
8	endogames
9	)
10	était
11	la
12	plus
13	forte
14	chez
15	les
16	immigrés
17	turcs
18	,
19	phénomène
20	que
21	l'
22	on
23	rencontre
24	un
25	peu
26	partout
27	en
28	Europe
29	au
30	à
31	le
32	sein
33	des
34	de
35	les
36	originaires
37	de
38	Turquie
39	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	proportion	NOUN	13	nsubj
3	de	ADP	5	case
4	ces	DET	5	det
5	couples	NOUN	2	nmod
6	(	PUNCT	7	punct
7	appelés	VERB	5	acl
8	endogames	ADJ	7	xcomp:pred
9	)	PUNCT	7	punct
10	était	AUX	13	cop
11	la	DET	13	det
12	plus	ADV	13	advmod
13	forte	ADJ	0	root
14	chez	ADP	16	case
15	les	DET	16	det
16	immigrés	NOUN	13	nmod
17	turcs	ADJ	16	amod
18	,	PUNCT	19	punct
19	phénomène	NOUN	13	parataxis
20	que	PRON	23	obj
21	l'	DET	23	nsubj
22	on	PRON	21	fixed
23	rencontre	VERB	19	acl:relcl
24	un	DET	26	advmod
25	peu	ADV	24	fixed
26	partout	ADV	28	advmod
27	en	ADP	28	case
28	Europe	PROPN	23	obl:mod
29	au	_	None	_
30	à	ADP	31	case
31	le	DET	31	det
32	sein	NOUN	23	obl:mod
33	des	_	None	_
34	de	ADP	34	case
35	les	DET	34	det
36	originaires	NOUN	31	nmod
37	de	ADP	36	case
38	Turquie	PROPN	34	nmod
39	.	PUNCT	13	punct