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:
Selon Philippe Gras, une photographie aujourd'hui conservée au musée de l'Air et de l'Espace a été prise par Jacques Mortane lui-même.
Postion	Tokenization
1	Selon
2	Philippe
3	Gras
4	,
5	une
6	photographie
7	aujourd'hui
8	conservée
9	au
10	à
11	le
12	musée
13	de
14	l'
15	Air
16	et
17	de
18	l'
19	Espace
20	a
21	été
22	prise
23	par
24	Jacques
25	Mortane
26	lui-même
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Selon	ADP	2	case
2	Philippe	PROPN	21	obl:mod
3	Gras	PROPN	2	flat:name
4	,	PUNCT	2	punct
5	une	DET	6	det
6	photographie	NOUN	21	nsubj:pass
7	aujourd'hui	ADV	8	advmod
8	conservée	VERB	6	acl
9	au	_	None	_
10	à	ADP	11	case
11	le	DET	11	det
12	musée	NOUN	8	obl:mod
13	de	ADP	14	case
14	l'	DET	14	det
15	Air	NOUN	11	nmod
16	et	CCONJ	18	cc
17	de	ADP	18	case
18	l'	DET	18	det
19	Espace	NOUN	14	conj
20	a	AUX	21	aux:tense
21	été	AUX	21	aux:pass
22	prise	VERB	0	root
23	par	ADP	23	case
24	Jacques	PROPN	21	obl:agent
25	Mortane	PROPN	23	flat:name
26	lui-même	PRON	23	nmod
27	.	PUNCT	21	punct