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:
Las acciones de Iberdrola subieron hoy un 2,74 por ciento, mientras que las de Endesa, que ayer cayeron un 8,79 por ciento, lo hicieron en un 0,77 por ciento.
Postion	Tokenization
1	Las
2	acciones
3	de
4	Iberdrola
5	subieron
6	hoy
7	un
8	2,74
9	por
10	ciento
11	,
12	mientras
13	que
14	las
15	de
16	Endesa
17	,
18	que
19	ayer
20	cayeron
21	un
22	8,79
23	por
24	ciento
25	,
26	lo
27	hicieron
28	en
29	un
30	0,77
31	por
32	ciento
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	acciones	NOUN	5	nsubj
3	de	ADP	4	case
4	Iberdrola	PROPN	2	nmod
5	subieron	VERB	12	parataxis
6	hoy	ADV	5	advmod
7	un	DET	8	det
8	2,74	NUM	5	obj
9	por	ADP	10	case
10	ciento	NUM	8	compound
11	,	PUNCT	12	punct
12	mientras	CCONJ	0	root
13	que	SCONJ	12	fixed
14	las	DET	20	det
15	de	ADP	16	case
16	Endesa	PROPN	20	obj
17	,	PUNCT	20	punct
18	que	PRON	20	nsubj
19	ayer	ADV	20	advmod
20	cayeron	VERB	27	csubj
21	un	DET	22	det
22	8,79	NUM	20	obj
23	por	ADP	24	case
24	ciento	NUM	22	compound
25	,	PUNCT	20	punct
26	lo	PRON	27	obj
27	hicieron	VERB	12	parataxis
28	en	ADP	30	case
29	un	DET	30	det
30	0,77	NUM	27	obl
31	por	ADP	32	case
32	ciento	NUM	30	compound
33	.	PUNCT	12	punct