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:
Les fouilles d'une chambre funéraire intacte, effectuées par Mansour Ghaki, ont permis de retrouver un grand nombre de céramiques de diverses origines, locales mais aussi importées.
Postion	Tokenization
1	Les
2	fouilles
3	d'
4	une
5	chambre
6	funéraire
7	intacte
8	,
9	effectuées
10	par
11	Mansour
12	Ghaki
13	,
14	ont
15	permis
16	de
17	retrouver
18	un
19	grand
20	nombre
21	de
22	céramiques
23	de
24	diverses
25	origines
26	,
27	locales
28	mais
29	aussi
30	importées
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	fouilles	NOUN	15	nsubj
3	d'	ADP	5	case
4	une	DET	5	det
5	chambre	NOUN	2	nmod
6	funéraire	ADJ	5	amod
7	intacte	ADJ	5	amod
8	,	PUNCT	9	punct
9	effectuées	VERB	2	acl
10	par	ADP	11	case
11	Mansour	PROPN	9	obl:agent
12	Ghaki	PROPN	11	flat:name
13	,	PUNCT	9	punct
14	ont	AUX	15	aux:tense
15	permis	VERB	0	root
16	de	ADP	17	mark
17	retrouver	VERB	15	xcomp:obj
18	un	DET	20	det
19	grand	ADJ	20	amod
20	nombre	NOUN	17	obj
21	de	ADP	22	case
22	céramiques	NOUN	20	nmod
23	de	ADP	25	case
24	diverses	ADJ	25	amod
25	origines	NOUN	22	nmod
26	,	PUNCT	27	punct
27	locales	ADJ	22	amod
28	mais	CCONJ	30	cc
29	aussi	ADV	30	advmod
30	importées	ADJ	22	conj
31	.	PUNCT	15	punct