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 ABC, E. Rodríguez Marchante recurría a imágenes menos turbadoras para disculpar el mutismo de un "alfarero de la interpretación (...) capaz de moldearse como arcilla por fuera y amoldarse como agua por dentro al personaje más difícil de enjaular en un cuerpo".
Postion	Tokenization
1	Y
2	en
3	ABC
4	,
5	E.
6	Rodríguez
7	Marchante
8	recurría
9	a
10	imágenes
11	menos
12	turbadoras
13	para
14	disculpar
15	el
16	mutismo
17	de
18	un
19	"
20	alfarero
21	de
22	la
23	interpretación
24	(
25	...
26	)
27	capaz
28	de
29	moldearse
30	moldear
31	se
32	como
33	arcilla
34	por
35	fuera
36	y
37	amoldarse
38	amoldar
39	se
40	como
41	agua
42	por
43	dentro
44	al
45	personaje
46	más
47	difícil
48	de
49	enjaular
50	en
51	un
52	cuerpo
53	"
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	8	advmod
2	en	ADP	3	case
3	ABC	PROPN	8	obl
4	,	PUNCT	3	punct
5	E.	PROPN	8	nsubj
6	Rodríguez	PROPN	5	flat
7	Marchante	PROPN	5	flat
8	recurría	VERB	0	root
9	a	ADP	10	case
10	imágenes	NOUN	8	obj
11	menos	ADV	12	advmod
12	turbadoras	ADJ	10	amod
13	para	ADP	14	mark
14	disculpar	VERB	8	advcl
15	el	DET	16	det
16	mutismo	NOUN	14	obj
17	de	ADP	20	case
18	un	DET	20	det
19	"	PUNCT	20	punct
20	alfarero	NOUN	16	nmod
21	de	ADP	23	case
22	la	DET	23	det
23	interpretación	NOUN	20	nmod
24	(	PUNCT	20	punct
25	...	PUNCT	20	punct
26	)	PUNCT	20	punct
27	capaz	ADJ	20	amod
28	de	ADP	29	mark
29	moldearse	_	None	_
30	moldear	VERB	27	acl
31	se	PRON	29	obj
32	como	SCONJ	32	mark
33	arcilla	NOUN	29	obl
34	por	ADP	34	case
35	fuera	ADV	29	advmod
36	y	CCONJ	36	cc
37	amoldarse	_	None	_
38	amoldar	VERB	29	conj
39	se	PRON	36	obj
40	como	SCONJ	39	mark
41	agua	NOUN	36	obl
42	por	ADP	41	case
43	dentro	ADV	36	advmod
44	al	ADP	43	case
45	personaje	NOUN	36	obj
46	más	ADV	45	advmod
47	difícil	ADJ	43	amod
48	de	ADP	47	mark
49	enjaular	VERB	45	acl
50	en	ADP	50	case
51	un	DET	50	det
52	cuerpo	NOUN	47	obl
53	"	PUNCT	20	punct
54	.	PUNCT	8	punct