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:
Cuando fueron aprobadas las tarifas, el pasado 19 de octubre, la operadora Aló anunció que no promocionaría una tarifa plana de acceso a Internet por el mismo motivo.
Postion	Tokenization
1	Cuando
2	fueron
3	aprobadas
4	las
5	tarifas
6	,
7	el
8	pasado
9	19
10	de
11	octubre
12	,
13	la
14	operadora
15	Aló
16	anunció
17	que
18	no
19	promocionaría
20	una
21	tarifa
22	plana
23	de
24	acceso
25	a
26	Internet
27	por
28	el
29	mismo
30	motivo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuando	SCONJ	3	mark
2	fueron	AUX	3	aux
3	aprobadas	VERB	16	advcl
4	las	DET	5	det
5	tarifas	NOUN	3	nsubj
6	,	PUNCT	9	punct
7	el	DET	9	det
8	pasado	ADJ	9	amod
9	19	NUM	3	obl
10	de	ADP	11	case
11	octubre	NOUN	9	compound
12	,	PUNCT	3	punct
13	la	DET	14	det
14	operadora	NOUN	16	nsubj
15	Aló	PROPN	14	appos
16	anunció	VERB	0	root
17	que	SCONJ	19	mark
18	no	ADV	19	advmod
19	promocionaría	VERB	16	ccomp
20	una	DET	21	det
21	tarifa	NOUN	19	obj
22	plana	ADJ	21	amod
23	de	ADP	24	case
24	acceso	NOUN	21	nmod
25	a	ADP	26	case
26	Internet	PROPN	24	nmod
27	por	ADP	30	case
28	el	DET	30	det
29	mismo	DET	28	det
30	motivo	NOUN	19	obl
31	.	PUNCT	16	punct