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:
Durant son séjour à Londres, il rencontre sa future femme, Asma al-Akhras, une Britannico-syrienne de confession sunnite et travaillant à la City pour JP Morgan.
Postion	Tokenization
1	Durant
2	son
3	séjour
4	à
5	Londres
6	,
7	il
8	rencontre
9	sa
10	future
11	femme
12	,
13	Asma
14	al-Akhras
15	,
16	une
17	Britannico-syrienne
18	de
19	confession
20	sunnite
21	et
22	travaillant
23	à
24	la
25	City
26	pour
27	JP
28	Morgan
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Durant	ADP	3	case
2	son	DET	3	det
3	séjour	NOUN	8	obl:mod
4	à	ADP	5	case
5	Londres	PROPN	3	nmod
6	,	PUNCT	3	punct
7	il	PRON	8	nsubj
8	rencontre	VERB	0	root
9	sa	DET	11	det
10	future	ADJ	11	amod
11	femme	NOUN	8	obj
12	,	PUNCT	13	punct
13	Asma	PROPN	11	appos
14	al-Akhras	PROPN	13	flat:name
15	,	PUNCT	13	punct
16	une	DET	17	det
17	Britannico-syrienne	NOUN	11	appos
18	de	ADP	19	case
19	confession	NOUN	17	nmod
20	sunnite	ADJ	19	amod
21	et	CCONJ	22	cc
22	travaillant	VERB	19	conj
23	à	ADP	25	case
24	la	DET	25	det
25	City	PROPN	22	obl:mod
26	pour	ADP	27	case
27	JP	PROPN	22	obl:mod
28	Morgan	PROPN	27	flat:name
29	.	PUNCT	8	punct