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 presidente del PP en Cataluña, Alberto Fernández Díaz, ha afirmado que el PSOE ha pasado "de la estrategia del miedo" con la que movilizó a sus votantes en las elecciones de 1996 a la del "insulto", porque, en su opinión, la formación socialista "no tiene nada que ofrecer a la sociedad española".
Postion	Tokenization
1	El
2	presidente
3	del
4	PP
5	en
6	Cataluña
7	,
8	Alberto
9	Fernández
10	Díaz
11	,
12	ha
13	afirmado
14	que
15	el
16	PSOE
17	ha
18	pasado
19	"
20	de
21	la
22	estrategia
23	del
24	miedo
25	"
26	con
27	la
28	que
29	movilizó
30	a
31	sus
32	votantes
33	en
34	las
35	elecciones
36	de
37	1996
38	a
39	la
40	del
41	"
42	insulto
43	"
44	,
45	porque
46	,
47	en
48	su
49	opinión
50	,
51	la
52	formación
53	socialista
54	"
55	no
56	tiene
57	nada
58	que
59	ofrecer
60	a
61	la
62	sociedad
63	española
64	"
65	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	13	nsubj
3	del	ADP	4	case
4	PP	PROPN	2	nmod
5	en	ADP	6	case
6	Cataluña	PROPN	2	nmod
7	,	PUNCT	8	punct
8	Alberto	PROPN	2	appos
9	Fernández	PROPN	8	flat
10	Díaz	PROPN	8	flat
11	,	PUNCT	8	punct
12	ha	AUX	13	aux
13	afirmado	VERB	0	root
14	que	SCONJ	18	mark
15	el	DET	16	det
16	PSOE	PROPN	18	nsubj
17	ha	AUX	18	aux
18	pasado	VERB	13	ccomp
19	"	PUNCT	22	punct
20	de	ADP	22	case
21	la	DET	22	det
22	estrategia	NOUN	18	obl
23	del	ADP	24	case
24	miedo	NOUN	22	nmod
25	"	PUNCT	22	punct
26	con	ADP	28	case
27	la	DET	28	det
28	que	PRON	29	obl
29	movilizó	VERB	22	acl
30	a	ADP	32	case
31	sus	DET	32	det
32	votantes	NOUN	29	obj
33	en	ADP	35	case
34	las	DET	35	det
35	elecciones	NOUN	29	obl
36	de	ADP	37	case
37	1996	NOUN	35	nmod
38	a	ADP	39	case
39	la	DET	18	det
40	del	ADP	39	case
41	"	PUNCT	42	punct
42	insulto	NOUN	39	obl
43	"	PUNCT	42	punct
44	,	PUNCT	56	punct
45	porque	SCONJ	56	mark
46	,	PUNCT	49	punct
47	en	ADP	49	case
48	su	DET	49	det
49	opinión	NOUN	56	obl
50	,	PUNCT	49	punct
51	la	DET	52	det
52	formación	NOUN	56	nsubj
53	socialista	ADJ	52	amod
54	"	PUNCT	56	punct
55	no	ADV	56	advmod
56	tiene	VERB	13	advcl
57	nada	PRON	56	obj
58	que	PRON	59	obj
59	ofrecer	VERB	57	acl
60	a	ADP	62	case
61	la	DET	62	det
62	sociedad	NOUN	59	obj
63	española	ADJ	62	amod
64	"	PUNCT	56	punct
65	.	PUNCT	13	punct