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:
Y en Los orígenes de la guerra civil española, de Pío Mora, dice el diputado del PNV Manuel Eguileor: "El anhelo de la raza más vieja de la tierra se condensa maravillosamente en una sola palabra, palabra mágica, creada también por el genio inmortal de nuestro maestro Arana: ¡Euzkadi!".
Postion	Tokenization
1	Y
2	en
3	Los
4	orígenes
5	de
6	la
7	guerra
8	civil
9	española
10	,
11	de
12	Pío
13	Mora
14	,
15	dice
16	el
17	diputado
18	del
19	PNV
20	Manuel
21	Eguileor
22	:
23	"
24	El
25	anhelo
26	de
27	la
28	raza
29	más
30	vieja
31	de
32	la
33	tierra
34	se
35	condensa
36	maravillosamente
37	en
38	una
39	sola
40	palabra
41	,
42	palabra
43	mágica
44	,
45	creada
46	también
47	por
48	el
49	genio
50	inmortal
51	de
52	nuestro
53	maestro
54	Arana
55	:
56	¡
57	Euzkadi
58	!
59	"
60	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	15	advmod
2	en	ADP	4	case
3	Los	DET	4	det
4	orígenes	PROPN	15	obl
5	de	ADP	7	case
6	la	DET	7	det
7	guerra	PROPN	3	flat
8	civil	PROPN	7	flat
9	española	PROPN	7	flat
10	,	PUNCT	12	punct
11	de	ADP	12	case
12	Pío	PROPN	3	nmod
13	Mora	PROPN	12	flat
14	,	PUNCT	12	punct
15	dice	VERB	0	root
16	el	DET	17	det
17	diputado	NOUN	15	nsubj
18	del	ADP	19	case
19	PNV	PROPN	17	nmod
20	Manuel	PROPN	17	appos
21	Eguileor	PROPN	20	flat
22	:	PUNCT	35	punct
23	"	PUNCT	35	punct
24	El	DET	25	det
25	anhelo	NOUN	35	nsubj
26	de	ADP	28	case
27	la	DET	28	det
28	raza	NOUN	25	nmod
29	más	ADV	30	advmod
30	vieja	ADJ	28	amod
31	de	ADP	33	case
32	la	DET	33	det
33	tierra	NOUN	28	nmod
34	se	PRON	35	expl:pass
35	condensa	VERB	15	ccomp
36	maravillosamente	ADV	35	advmod
37	en	ADP	40	case
38	una	DET	40	det
39	sola	ADJ	40	amod
40	palabra	NOUN	35	obl
41	,	PUNCT	42	punct
42	palabra	NOUN	40	appos
43	mágica	ADJ	42	amod
44	,	PUNCT	45	punct
45	creada	ADJ	42	amod
46	también	ADV	45	advmod
47	por	ADP	49	case
48	el	DET	49	det
49	genio	NOUN	45	obj
50	inmortal	ADJ	49	amod
51	de	ADP	53	case
52	nuestro	DET	53	det
53	maestro	NOUN	49	nmod
54	Arana	PROPN	53	appos
55	:	PUNCT	57	punct
56	¡	PUNCT	57	punct
57	Euzkadi	PROPN	40	appos
58	!	PUNCT	57	punct
59	"	PUNCT	35	punct
60	.	PUNCT	15	punct