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 consecuencia directa de esas especulaciones acostumbra a ser el fortalecimiento de las acciones de la compañía presidida por Juan Villalonga en la bolsa, aunque ayer el rumor obtuvo poco éxito.
Postion	Tokenization
1	La
2	consecuencia
3	directa
4	de
5	esas
6	especulaciones
7	acostumbra
8	a
9	ser
10	el
11	fortalecimiento
12	de
13	las
14	acciones
15	de
16	la
17	compañía
18	presidida
19	por
20	Juan
21	Villalonga
22	en
23	la
24	bolsa
25	,
26	aunque
27	ayer
28	el
29	rumor
30	obtuvo
31	poco
32	éxito
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	consecuencia	NOUN	7	nsubj
3	directa	ADJ	2	amod
4	de	ADP	6	case
5	esas	DET	6	det
6	especulaciones	NOUN	2	nmod
7	acostumbra	VERB	0	root
8	a	ADP	11	case
9	ser	AUX	11	cop
10	el	DET	11	det
11	fortalecimiento	NOUN	7	xcomp
12	de	ADP	14	case
13	las	DET	14	det
14	acciones	NOUN	11	nmod
15	de	ADP	17	case
16	la	DET	17	det
17	compañía	NOUN	14	nmod
18	presidida	ADJ	17	amod
19	por	ADP	20	case
20	Juan	PROPN	18	obj
21	Villalonga	PROPN	20	flat
22	en	ADP	24	case
23	la	DET	24	det
24	bolsa	NOUN	11	nmod
25	,	PUNCT	30	punct
26	aunque	SCONJ	30	mark
27	ayer	ADV	30	advmod
28	el	DET	29	det
29	rumor	NOUN	30	nsubj
30	obtuvo	VERB	11	advcl
31	poco	PRON	32	nmod
32	éxito	NOUN	30	obj
33	.	PUNCT	7	punct