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:
El efecto de los llamados resultados extraordinarios - - diferentes a la actividad principal - - ha sido claro en el caso de Telefónica.
Postion	Tokenization
1	El
2	efecto
3	de
4	los
5	llamados
6	resultados
7	extraordinarios
8	-
9	-
10	diferentes
11	a
12	la
13	actividad
14	principal
15	-
16	-
17	ha
18	sido
19	claro
20	en
21	el
22	caso
23	de
24	Telefónica
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	efecto	NOUN	19	nsubj
3	de	ADP	6	case
4	los	DET	6	det
5	llamados	ADJ	6	amod
6	resultados	NOUN	2	nmod
7	extraordinarios	ADJ	6	amod
8	-	PUNCT	10	punct
9	-	PUNCT	10	punct
10	diferentes	ADJ	6	amod
11	a	ADP	13	case
12	la	DET	13	det
13	actividad	NOUN	10	nmod
14	principal	ADJ	13	amod
15	-	PUNCT	10	punct
16	-	PUNCT	10	punct
17	ha	AUX	19	aux
18	sido	AUX	19	cop
19	claro	ADJ	0	root
20	en	ADP	22	case
21	el	DET	22	det
22	caso	NOUN	19	obl
23	de	ADP	24	case
24	Telefónica	PROPN	22	nmod
25	.	PUNCT	19	punct