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:
Enersis mantendrá abierta la oferta sobre Endesa Chile en las mismas condiciones que antes de la suspensión, es decir, 0,74 dólares por acción, lo que suma 323.250 millones de pesetas.
Postion	Tokenization
1	Enersis
2	mantendrá
3	abierta
4	la
5	oferta
6	sobre
7	Endesa
8	Chile
9	en
10	las
11	mismas
12	condiciones
13	que
14	antes
15	de
16	la
17	suspensión
18	,
19	es
20	decir
21	,
22	0,74
23	dólares
24	por
25	acción
26	,
27	lo
28	que
29	suma
30	323.250
31	millones
32	de
33	pesetas
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Enersis	PROPN	2	nsubj
2	mantendrá	VERB	0	root
3	abierta	ADJ	2	obj
4	la	DET	5	det
5	oferta	NOUN	2	obj
6	sobre	ADP	7	case
7	Endesa	PROPN	5	nmod
8	Chile	PROPN	7	flat
9	en	ADP	12	case
10	las	DET	12	det
11	mismas	DET	10	det
12	condiciones	NOUN	2	obl
13	que	SCONJ	14	mark
14	antes	ADV	12	advmod
15	de	ADP	17	case
16	la	DET	17	det
17	suspensión	NOUN	14	obl
18	,	PUNCT	19	punct
19	es	NOUN	23	advmod
20	decir	NOUN	19	fixed
21	,	PUNCT	19	punct
22	0,74	NUM	23	nummod
23	dólares	NOUN	12	appos
24	por	ADP	25	case
25	acción	NOUN	23	nmod
26	,	PUNCT	29	punct
27	lo	PRON	31	det
28	que	PRON	29	nsubj
29	suma	VERB	2	advcl
30	323.250	NUM	31	nummod
31	millones	NOUN	29	xcomp
32	de	ADP	33	case
33	pesetas	NOUN	31	nmod
34	.	PUNCT	2	punct