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 filial mexicana de la multinacional Coca-Cola invertirá 500 millones de dólares en el 2001 en proyectos de expansión y mercadotecnia, informaron hoy a EFE fuentes de la empresa.
Postion	Tokenization
1	La
2	filial
3	mexicana
4	de
5	la
6	multinacional
7	Coca-Cola
8	invertirá
9	500
10	millones
11	de
12	dólares
13	en
14	el
15	2001
16	en
17	proyectos
18	de
19	expansión
20	y
21	mercadotecnia
22	,
23	informaron
24	hoy
25	a
26	EFE
27	fuentes
28	de
29	la
30	empresa
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	filial	NOUN	8	nsubj
3	mexicana	ADJ	2	amod
4	de	ADP	6	case
5	la	DET	6	det
6	multinacional	NOUN	2	nmod
7	Coca-Cola	PROPN	6	appos
8	invertirá	VERB	23	ccomp
9	500	NUM	10	nummod
10	millones	NOUN	8	obj
11	de	ADP	12	case
12	dólares	NOUN	10	nmod
13	en	ADP	15	case
14	el	DET	15	det
15	2001	NOUN	8	obl
16	en	ADP	17	case
17	proyectos	NOUN	8	obl
18	de	ADP	19	case
19	expansión	NOUN	17	nmod
20	y	CCONJ	21	cc
21	mercadotecnia	NOUN	19	conj
22	,	PUNCT	8	punct
23	informaron	VERB	0	root
24	hoy	ADV	23	advmod
25	a	ADP	26	case
26	EFE	PROPN	23	iobj
27	fuentes	NOUN	23	nsubj
28	de	ADP	30	case
29	la	DET	30	det
30	empresa	NOUN	27	nmod
31	.	PUNCT	23	punct