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:
En esta línea, Alberto Fernández se ha preguntado que "si esto es lo que ocurrió entonces cuando CiU era influyente en Madrid, ¿qué tiene que pasar ahora con un escenario español totalmente diferente?"
Postion	Tokenization
1	En
2	esta
3	línea
4	,
5	Alberto
6	Fernández
7	se
8	ha
9	preguntado
10	que
11	"
12	si
13	esto
14	es
15	lo
16	que
17	ocurrió
18	entonces
19	cuando
20	CiU
21	era
22	influyente
23	en
24	Madrid
25	,
26	¿
27	qué
28	tiene
29	que
30	pasar
31	ahora
32	con
33	un
34	escenario
35	español
36	totalmente
37	diferente
38	?
39	"
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	esta	DET	3	det
3	línea	NOUN	9	obl
4	,	PUNCT	3	punct
5	Alberto	PROPN	9	nsubj
6	Fernández	PROPN	5	flat
7	se	PRON	9	iobj
8	ha	AUX	9	aux
9	preguntado	VERB	0	root
10	que	SCONJ	30	mark
11	"	PUNCT	14	punct
12	si	SCONJ	14	mark
13	esto	PRON	14	nsubj
14	es	AUX	30	advcl
15	lo	PRON	17	det
16	que	PRON	17	nsubj
17	ocurrió	VERB	14	ccomp
18	entonces	ADV	17	advmod
19	cuando	PRON	22	obl
20	CiU	PROPN	22	nsubj
21	era	AUX	22	cop
22	influyente	ADJ	18	advcl
23	en	ADP	24	case
24	Madrid	PROPN	22	nmod
25	,	PUNCT	14	punct
26	¿	PUNCT	27	punct
27	qué	PRON	30	nsubj
28	tiene	VERB	9	ccomp
29	que	SCONJ	30	cc
30	pasar	VERB	28	conj
31	ahora	ADV	30	advmod
32	con	ADP	34	case
33	un	DET	34	det
34	escenario	NOUN	30	obl
35	español	ADJ	34	amod
36	totalmente	ADV	37	advmod
37	diferente	ADJ	34	amod
38	?	PUNCT	9	punct
39	"	PUNCT	9	punct