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:
N'ayant aucunes nouvelles de ses amies, Ruka part à leur recherche avec une photo d'elle et de sa mère qui se tiennent devant un bâtiment, et découvre ce dernier qui se révèle être un hôpital.
Postion	Tokenization
1	N'
2	ayant
3	aucunes
4	nouvelles
5	de
6	ses
7	amies
8	,
9	Ruka
10	part
11	à
12	leur
13	recherche
14	avec
15	une
16	photo
17	d'
18	elle
19	et
20	de
21	sa
22	mère
23	qui
24	se
25	tiennent
26	devant
27	un
28	bâtiment
29	,
30	et
31	découvre
32	ce
33	dernier
34	qui
35	se
36	révèle
37	être
38	un
39	hôpital
40	.
Position	Tokenization	UPOS	Head	Deprel
1	N'	ADV	2	advmod
2	ayant	VERB	10	advcl
3	aucunes	DET	4	det
4	nouvelles	NOUN	2	obj
5	de	ADP	7	case
6	ses	DET	7	det
7	amies	NOUN	4	nmod
8	,	PUNCT	2	punct
9	Ruka	PROPN	10	nsubj
10	part	VERB	0	root
11	à	ADP	13	case
12	leur	DET	13	det
13	recherche	NOUN	10	obl:arg
14	avec	ADP	16	case
15	une	DET	16	det
16	photo	NOUN	10	obl:mod
17	d'	ADP	18	case
18	elle	PRON	16	nmod
19	et	CCONJ	22	cc
20	de	ADP	22	case
21	sa	DET	22	det
22	mère	NOUN	18	conj
23	qui	PRON	25	nsubj
24	se	PRON	25	dep:comp
25	tiennent	VERB	22	acl:relcl
26	devant	ADP	28	case
27	un	DET	28	det
28	bâtiment	NOUN	25	obl:mod
29	,	PUNCT	31	punct
30	et	CCONJ	31	cc
31	découvre	VERB	10	conj
32	ce	DET	33	det
33	dernier	ADJ	31	obj
34	qui	PRON	36	nsubj
35	se	PRON	36	dep:comp
36	révèle	VERB	33	acl:relcl
37	être	AUX	39	cop
38	un	DET	39	det
39	hôpital	NOUN	36	xcomp:obj
40	.	PUNCT	10	punct