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 vicepresidente primero del Gobierno y ministro de la Presidencia, Mariano Rajoy, anunció hoy en la rueda de prensa posterior al Consejo de Ministros que las nuevas matrículas automovilísticas incluirán la "E" de España.
Postion	Tokenization
1	El
2	vicepresidente
3	primero
4	del
5	Gobierno
6	y
7	ministro
8	de
9	la
10	Presidencia
11	,
12	Mariano
13	Rajoy
14	,
15	anunció
16	hoy
17	en
18	la
19	rueda
20	de
21	prensa
22	posterior
23	al
24	Consejo
25	de
26	Ministros
27	que
28	las
29	nuevas
30	matrículas
31	automovilísticas
32	incluirán
33	la
34	"
35	E
36	"
37	de
38	España
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	vicepresidente	NOUN	15	nsubj
3	primero	ADJ	2	amod
4	del	ADP	5	case
5	Gobierno	PROPN	2	nmod
6	y	CCONJ	7	cc
7	ministro	NOUN	2	conj
8	de	ADP	10	case
9	la	DET	10	det
10	Presidencia	PROPN	7	nmod
11	,	PUNCT	12	punct
12	Mariano	PROPN	2	appos
13	Rajoy	PROPN	12	flat
14	,	PUNCT	12	punct
15	anunció	VERB	0	root
16	hoy	ADV	15	advmod
17	en	ADP	19	case
18	la	DET	19	det
19	rueda	NOUN	15	obl
20	de	ADP	21	case
21	prensa	NOUN	19	nmod
22	posterior	ADJ	19	amod
23	al	ADP	24	case
24	Consejo	PROPN	22	nmod
25	de	ADP	26	case
26	Ministros	PROPN	24	flat
27	que	SCONJ	32	mark
28	las	DET	30	det
29	nuevas	ADJ	30	amod
30	matrículas	NOUN	32	nsubj
31	automovilísticas	ADJ	30	amod
32	incluirán	VERB	15	ccomp
33	la	DET	35	det
34	"	PUNCT	35	punct
35	E	NOUN	32	obj
36	"	PUNCT	35	punct
37	de	ADP	38	case
38	España	PROPN	35	nmod
39	.	PUNCT	15	punct