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:
Enfin, les grandes entreprises espagnoles, comme Telefonica ou Santander, ont réduit leur présence au Maroc en y investissant moins.
Postion	Tokenization
1	Enfin
2	,
3	les
4	grandes
5	entreprises
6	espagnoles
7	,
8	comme
9	Telefonica
10	ou
11	Santander
12	,
13	ont
14	réduit
15	leur
16	présence
17	au
18	à
19	le
20	Maroc
21	en
22	y
23	investissant
24	moins
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Enfin	ADV	14	advmod
2	,	PUNCT	1	punct
3	les	DET	5	det
4	grandes	ADJ	5	amod
5	entreprises	NOUN	14	nsubj
6	espagnoles	ADJ	5	amod
7	,	PUNCT	9	punct
8	comme	ADP	9	case
9	Telefonica	PROPN	5	nmod
10	ou	CCONJ	11	cc
11	Santander	PROPN	9	conj
12	,	PUNCT	9	punct
13	ont	AUX	14	aux:tense
14	réduit	VERB	0	root
15	leur	DET	16	det
16	présence	NOUN	14	obj
17	au	_	None	_
18	à	ADP	19	case
19	le	DET	19	det
20	Maroc	PROPN	16	nmod
21	en	ADP	22	mark
22	y	PRON	22	obl:mod
23	investissant	VERB	14	advcl
24	moins	ADV	22	advmod
25	.	PUNCT	14	punct