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 un discurso bien trabado y modulado, aseguró que su misión será la de acercar al PP a la mayoría de los casi 10 millones de electores - - "tenemos que ser el partido de la gente" - -, así como convertirlo en el "eje vertebrador de la España plural".
Postion	Tokenization
1	En
2	un
3	discurso
4	bien
5	trabado
6	y
7	modulado
8	,
9	aseguró
10	que
11	su
12	misión
13	será
14	la
15	de
16	acercar
17	al
18	PP
19	a
20	la
21	mayoría
22	de
23	los
24	casi
25	10
26	millones
27	de
28	electores
29	-
30	-
31	"
32	tenemos
33	que
34	ser
35	el
36	partido
37	de
38	la
39	gente
40	"
41	-
42	-
43	,
44	así
45	como
46	convertirlo
47	convertir
48	lo
49	en
50	el
51	"
52	eje
53	vertebrador
54	de
55	la
56	España
57	plural
58	"
59	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	un	DET	3	det
3	discurso	NOUN	9	obl
4	bien	ADV	5	advmod
5	trabado	ADJ	3	amod
6	y	CCONJ	7	cc
7	modulado	ADJ	5	conj
8	,	PUNCT	3	punct
9	aseguró	VERB	0	root
10	que	SCONJ	13	mark
11	su	DET	12	det
12	misión	NOUN	13	nsubj
13	será	AUX	9	ccomp
14	la	DET	13	det
15	de	ADP	14	mark
16	acercar	VERB	14	ccomp
17	al	ADP	18	case
18	PP	PROPN	16	obj
19	a	ADP	21	case
20	la	DET	21	det
21	mayoría	NOUN	16	obl
22	de	ADP	26	case
23	los	DET	25	det
24	casi	ADV	25	advmod
25	10	NUM	26	nummod
26	millones	NOUN	21	nmod
27	de	ADP	28	case
28	electores	NOUN	26	nmod
29	-	PUNCT	32	punct
30	-	PUNCT	32	punct
31	"	PUNCT	32	punct
32	tenemos	VERB	16	parataxis
33	que	SCONJ	36	cc
34	ser	AUX	36	cop
35	el	DET	36	det
36	partido	NOUN	32	conj
37	de	ADP	39	case
38	la	DET	39	det
39	gente	NOUN	36	nmod
40	"	PUNCT	32	punct
41	-	PUNCT	32	punct
42	-	PUNCT	32	punct
43	,	PUNCT	46	punct
44	así	ADV	46	cc
45	como	SCONJ	44	fixed
46	convertirlo	_	None	_
47	convertir	VERB	16	conj
48	lo	PRON	46	obj
49	en	ADP	51	case
50	el	DET	51	det
51	"	PUNCT	51	punct
52	eje	NOUN	46	obj
53	vertebrador	ADJ	51	amod
54	de	ADP	55	case
55	la	DET	55	det
56	España	PROPN	51	nmod
57	plural	ADJ	55	amod
58	"	PUNCT	51	punct
59	.	PUNCT	9	punct