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 deux entreprises espagnoles avaient justifié le retard de mise en exploitation du gisement de Gassi Touil par l'augmentation des coûts de l'engineering pour la construction d'installations gazières à Oran.
Postion	Tokenization
1	Les
2	deux
3	entreprises
4	espagnoles
5	avaient
6	justifié
7	le
8	retard
9	de
10	mise
11	en
12	exploitation
13	du
14	de
15	le
16	gisement
17	de
18	Gassi
19	Touil
20	par
21	l'
22	augmentation
23	des
24	de
25	les
26	coûts
27	de
28	l'
29	engineering
30	pour
31	la
32	construction
33	d'
34	installations
35	gazières
36	à
37	Oran
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	3	det
2	deux	NUM	3	nummod
3	entreprises	NOUN	6	nsubj
4	espagnoles	ADJ	3	amod
5	avaient	AUX	6	aux:tense
6	justifié	VERB	0	root
7	le	DET	8	det
8	retard	NOUN	6	obj
9	de	ADP	10	case
10	mise	NOUN	8	nmod
11	en	ADP	12	case
12	exploitation	NOUN	10	nmod
13	du	_	None	_
14	de	ADP	15	case
15	le	DET	15	det
16	gisement	NOUN	10	nmod
17	de	ADP	17	case
18	Gassi	PROPN	15	nmod
19	Touil	PROPN	17	flat:name
20	par	ADP	21	case
21	l'	DET	21	det
22	augmentation	NOUN	6	obl:arg
23	des	_	None	_
24	de	ADP	24	case
25	les	DET	24	det
26	coûts	NOUN	21	nmod
27	de	ADP	27	case
28	l'	DET	27	det
29	engineering	NOUN	24	nmod
30	pour	ADP	30	case
31	la	DET	30	det
32	construction	NOUN	24	nmod
33	d'	ADP	32	case
34	installations	NOUN	30	nmod
35	gazières	ADJ	32	amod
36	à	ADP	35	case
37	Oran	PROPN	30	nmod
38	.	PUNCT	6	punct