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:
Poco a poco aprendió a efectuar modificaciones sobre ellos, como en las aleaciones metálicas, pero sólo recientemente se ha producido una auténtica revolución con la creación de nuevos materiales, cada vez mejores, en mayor número y más adaptados a las propiedades específicas que en cada caso se les demandan.
Postion	Tokenization
1	Poco
2	a
3	poco
4	aprendió
5	a
6	efectuar
7	modificaciones
8	sobre
9	ellos
10	,
11	como
12	en
13	las
14	aleaciones
15	metálicas
16	,
17	pero
18	sólo
19	recientemente
20	se
21	ha
22	producido
23	una
24	auténtica
25	revolución
26	con
27	la
28	creación
29	de
30	nuevos
31	materiales
32	,
33	cada
34	vez
35	mejores
36	,
37	en
38	mayor
39	número
40	y
41	más
42	adaptados
43	a
44	las
45	propiedades
46	específicas
47	que
48	en
49	cada
50	caso
51	se
52	les
53	demandan
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Poco	ADV	4	advmod
2	a	ADP	1	fixed
3	poco	ADV	1	fixed
4	aprendió	VERB	0	root
5	a	ADP	6	mark
6	efectuar	VERB	4	xcomp
7	modificaciones	NOUN	6	obj
8	sobre	ADP	9	case
9	ellos	PRON	7	nmod
10	,	PUNCT	14	punct
11	como	SCONJ	14	mark
12	en	ADP	14	case
13	las	DET	14	det
14	aleaciones	NOUN	7	nmod
15	metálicas	ADJ	14	amod
16	,	PUNCT	22	punct
17	pero	CCONJ	22	cc
18	sólo	ADV	19	advmod
19	recientemente	ADV	22	advmod
20	se	PRON	22	expl:pv
21	ha	AUX	22	aux
22	producido	VERB	4	conj
23	una	DET	25	det
24	auténtica	ADJ	25	amod
25	revolución	NOUN	22	nsubj
26	con	ADP	28	case
27	la	DET	28	det
28	creación	NOUN	22	obl
29	de	ADP	31	case
30	nuevos	ADJ	31	amod
31	materiales	NOUN	28	nmod
32	,	PUNCT	35	punct
33	cada	DET	34	det
34	vez	NOUN	35	obj
35	mejores	ADJ	31	amod
36	,	PUNCT	39	punct
37	en	ADP	39	case
38	mayor	ADJ	39	amod
39	número	NOUN	35	nmod
40	y	CCONJ	42	cc
41	más	ADV	42	advmod
42	adaptados	ADJ	35	conj
43	a	ADP	45	case
44	las	DET	45	det
45	propiedades	NOUN	42	obj
46	específicas	ADJ	45	amod
47	que	PRON	53	nsubj
48	en	ADP	50	case
49	cada	DET	50	det
50	caso	NOUN	53	obl
51	se	PRON	53	expl:pass
52	les	PRON	53	obj
53	demandan	VERB	31	acl
54	.	PUNCT	4	punct