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:
Después siguió escribiendo lejos de sus formalidades eruditas: el marido de Penélope, nuevamente Troya en "Magic and Wonder in Literature", Elena otra vez en "The Memory of Certains Persons" (1947), Villon y Galahad, un tanto necesitado de buena reputación...
Postion	Tokenization
1	Después
2	siguió
3	escribiendo
4	lejos
5	de
6	sus
7	formalidades
8	eruditas
9	:
10	el
11	marido
12	de
13	Penélope
14	,
15	nuevamente
16	Troya
17	en
18	"
19	Magic
20	and
21	Wonder
22	in
23	Literature
24	"
25	,
26	Elena
27	otra
28	vez
29	en
30	"
31	The
32	Memory
33	of
34	Certains
35	Persons
36	"
37	(
38	1947
39	)
40	,
41	Villon
42	y
43	Galahad
44	,
45	un
46	tanto
47	necesitado
48	de
49	buena
50	reputación
51	...
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	2	advmod
2	siguió	VERB	0	root
3	escribiendo	VERB	2	xcomp
4	lejos	ADV	2	advmod
5	de	ADP	7	case
6	sus	DET	7	det
7	formalidades	NOUN	4	obl
8	eruditas	ADJ	7	amod
9	:	PUNCT	11	punct
10	el	DET	11	det
11	marido	NOUN	3	obj
12	de	ADP	13	case
13	Penélope	PROPN	11	nmod
14	,	PUNCT	11	punct
15	nuevamente	ADV	16	advmod
16	Troya	PROPN	11	nmod
17	en	ADP	19	case
18	"	PUNCT	19	punct
19	Magic	PROPN	16	nmod
20	and	PROPN	19	flat
21	Wonder	PROPN	19	flat
22	in	ADP	23	case
23	Literature	PROPN	19	flat
24	"	PUNCT	19	punct
25	,	PUNCT	11	punct
26	Elena	PROPN	11	nmod
27	otra	DET	28	det
28	vez	NOUN	26	appos
29	en	ADP	31	case
30	"	PUNCT	31	punct
31	The	PROPN	26	nmod
32	Memory	PROPN	31	flat
33	of	PROPN	31	flat
34	Certains	PROPN	31	flat
35	Persons	PROPN	31	flat
36	"	PUNCT	31	punct
37	(	PUNCT	38	punct
38	1947	NOUN	31	appos
39	)	PUNCT	38	punct
40	,	PUNCT	11	punct
41	Villon	PROPN	11	appos
42	y	CCONJ	43	cc
43	Galahad	PROPN	41	conj
44	,	PUNCT	47	punct
45	un	DET	47	advmod
46	tanto	NOUN	45	fixed
47	necesitado	ADJ	2	advmod
48	de	ADP	50	case
49	buena	ADJ	50	amod
50	reputación	NOUN	47	obj
51	...	PUNCT	2	punct