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:
Los espejismos, según el diccionario, no son más que meras ilusiones ópticas, pero yo, que nunca he sido personaje de novela ni compañero de aventuras de Lawrence de Arabia, lo más parecido a un espejismo que he visto son esos bichitos blancos con forma de paramecio que culebrean sobre el forro oscuro de los párpados.
Postion	Tokenization
1	Los
2	espejismos
3	,
4	según
5	el
6	diccionario
7	,
8	no
9	son
10	más
11	que
12	meras
13	ilusiones
14	ópticas
15	,
16	pero
17	yo
18	,
19	que
20	nunca
21	he
22	sido
23	personaje
24	de
25	novela
26	ni
27	compañero
28	de
29	aventuras
30	de
31	Lawrence
32	de
33	Arabia
34	,
35	lo
36	más
37	parecido
38	a
39	un
40	espejismo
41	que
42	he
43	visto
44	son
45	esos
46	bichitos
47	blancos
48	con
49	forma
50	de
51	paramecio
52	que
53	culebrean
54	sobre
55	el
56	forro
57	oscuro
58	de
59	los
60	párpados
61	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	espejismos	NOUN	13	nsubj
3	,	PUNCT	6	punct
4	según	ADP	6	case
5	el	DET	6	det
6	diccionario	NOUN	13	obl
7	,	PUNCT	6	punct
8	no	ADV	13	advmod
9	son	AUX	13	cop
10	más	ADV	13	advmod
11	que	SCONJ	10	fixed
12	meras	ADJ	13	amod
13	ilusiones	NOUN	0	root
14	ópticas	ADJ	13	amod
15	,	PUNCT	46	punct
16	pero	CCONJ	46	cc
17	yo	PRON	46	obj
18	,	PUNCT	23	punct
19	que	PRON	23	nsubj
20	nunca	ADV	23	advmod
21	he	AUX	23	aux
22	sido	AUX	23	cop
23	personaje	NOUN	17	acl
24	de	ADP	25	case
25	novela	NOUN	23	nmod
26	ni	CCONJ	27	cc
27	compañero	NOUN	23	conj
28	de	ADP	29	case
29	aventuras	NOUN	27	nmod
30	de	ADP	31	case
31	Lawrence	PROPN	29	nmod
32	de	ADP	33	case
33	Arabia	PROPN	31	flat
34	,	PUNCT	23	punct
35	lo	PRON	37	det
36	más	ADV	37	advmod
37	parecido	ADJ	46	nsubj
38	a	ADP	40	case
39	un	DET	40	det
40	espejismo	NOUN	37	obj
41	que	PRON	43	obj
42	he	AUX	43	aux
43	visto	VERB	37	advcl
44	son	AUX	46	cop
45	esos	DET	46	det
46	bichitos	NOUN	13	conj
47	blancos	ADJ	46	amod
48	con	ADP	49	case
49	forma	NOUN	46	nmod
50	de	ADP	51	case
51	paramecio	NOUN	49	nmod
52	que	PRON	53	nsubj
53	culebrean	VERB	46	acl
54	sobre	ADP	56	case
55	el	DET	56	det
56	forro	NOUN	53	obl
57	oscuro	ADJ	56	amod
58	de	ADP	60	case
59	los	DET	60	det
60	párpados	NOUN	56	nmod
61	.	PUNCT	13	punct