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:
EDF precisó que la compra sería efectiva "antes de final de año" y que se trataba de la "mayor inversión realizada fuera de Francia hasta ahora".
Postion	Tokenization
1	EDF
2	precisó
3	que
4	la
5	compra
6	sería
7	efectiva
8	"
9	antes
10	de
11	final
12	de
13	año
14	"
15	y
16	que
17	se
18	trataba
19	de
20	la
21	"
22	mayor
23	inversión
24	realizada
25	fuera
26	de
27	Francia
28	hasta
29	ahora
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	EDF	PROPN	2	nsubj
2	precisó	VERB	0	root
3	que	SCONJ	7	mark
4	la	DET	5	det
5	compra	NOUN	7	nsubj
6	sería	AUX	7	cop
7	efectiva	ADJ	2	ccomp
8	"	PUNCT	9	punct
9	antes	ADV	7	advmod
10	de	ADP	11	case
11	final	NOUN	9	obl
12	de	ADP	13	case
13	año	NOUN	11	nmod
14	"	PUNCT	9	punct
15	y	CCONJ	18	cc
16	que	SCONJ	18	mark
17	se	PRON	18	expl:impers
18	trataba	VERB	7	conj
19	de	ADP	23	case
20	la	DET	23	det
21	"	PUNCT	23	punct
22	mayor	ADJ	23	amod
23	inversión	NOUN	18	obj
24	realizada	ADJ	23	amod
25	fuera	ADV	24	advmod
26	de	ADP	27	case
27	Francia	PROPN	25	obl
28	hasta	ADP	29	case
29	ahora	ADV	24	advmod
30	"	PUNCT	23	punct
31	.	PUNCT	2	punct