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:
Rajoy, manifestó que la inclusión de la inicial española en las matrículas "es un hecho objetivo y las matrículas tienen que reflejar los hechos objetivos, por lo que se recogerá la" E "de España".
Postion	Tokenization
1	Rajoy
2	,
3	manifestó
4	que
5	la
6	inclusión
7	de
8	la
9	inicial
10	española
11	en
12	las
13	matrículas
14	"
15	es
16	un
17	hecho
18	objetivo
19	y
20	las
21	matrículas
22	tienen
23	que
24	reflejar
25	los
26	hechos
27	objetivos
28	,
29	por
30	lo
31	que
32	se
33	recogerá
34	la
35	"
36	E
37	"
38	de
39	España
40	"
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Rajoy	PROPN	3	nsubj
2	,	PUNCT	1	punct
3	manifestó	VERB	0	root
4	que	SCONJ	17	mark
5	la	DET	6	det
6	inclusión	NOUN	17	nsubj
7	de	ADP	9	case
8	la	DET	9	det
9	inicial	NOUN	6	nmod
10	española	ADJ	9	amod
11	en	ADP	13	case
12	las	DET	13	det
13	matrículas	NOUN	6	nmod
14	"	PUNCT	17	punct
15	es	AUX	17	cop
16	un	DET	17	det
17	hecho	NOUN	3	ccomp
18	objetivo	ADJ	17	amod
19	y	CCONJ	22	cc
20	las	DET	21	det
21	matrículas	NOUN	24	nsubj
22	tienen	VERB	17	conj
23	que	SCONJ	24	cc
24	reflejar	VERB	22	conj
25	los	DET	26	det
26	hechos	NOUN	24	obj
27	objetivos	ADJ	26	amod
28	,	PUNCT	33	punct
29	por	ADP	33	mark
30	lo	PRON	33	det
31	que	PRON	33	obl
32	se	PRON	33	expl:pass
33	recogerá	VERB	17	advcl
34	la	DET	36	det
35	"	PUNCT	36	punct
36	E	NOUN	33	nsubj
37	"	PUNCT	36	punct
38	de	ADP	39	case
39	España	PROPN	36	nmod
40	"	PUNCT	3	punct
41	.	PUNCT	3	punct