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:
La operación se produciría catorce meses después de que Phillips fuera comprada por el grupo francés de productos de lujo Louis Vuitton Moet-Hennessy (LVMH).
Postion	Tokenization
1	La
2	operación
3	se
4	produciría
5	catorce
6	meses
7	después
8	de
9	que
10	Phillips
11	fuera
12	comprada
13	por
14	el
15	grupo
16	francés
17	de
18	productos
19	de
20	lujo
21	Louis
22	Vuitton
23	Moet-Hennessy
24	(
25	LVMH
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	operación	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	produciría	VERB	0	root
5	catorce	NUM	6	nummod
6	meses	NOUN	4	obl
7	después	ADV	6	advmod
8	de	ADP	12	mark
9	que	SCONJ	12	mark
10	Phillips	PROPN	12	nsubj
11	fuera	AUX	12	aux
12	comprada	VERB	7	advcl
13	por	ADP	15	case
14	el	DET	15	det
15	grupo	NOUN	12	obj
16	francés	ADJ	15	amod
17	de	ADP	18	case
18	productos	NOUN	15	nmod
19	de	ADP	20	case
20	lujo	NOUN	18	nmod
21	Louis	PROPN	15	appos
22	Vuitton	PROPN	21	flat
23	Moet-Hennessy	PROPN	21	flat
24	(	PUNCT	25	punct
25	LVMH	PROPN	21	flat
26	)	PUNCT	25	punct
27	.	PUNCT	4	punct