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:
Recientemente, Yoshino ha patentado un procedimiento para moldear piezas conductoras de poli-3-alquiltiofenos, lo que supone un notable avance, si bien estos tipos de polímeros son térmicamente sensibles, no porque se degraden, sino porque se pierde el - dopado - a temperaturas elevadas.
Postion	Tokenization
1	Recientemente
2	,
3	Yoshino
4	ha
5	patentado
6	un
7	procedimiento
8	para
9	moldear
10	piezas
11	conductoras
12	de
13	poli-3-alquiltiofenos
14	,
15	lo
16	que
17	supone
18	un
19	notable
20	avance
21	,
22	si
23	bien
24	estos
25	tipos
26	de
27	polímeros
28	son
29	térmicamente
30	sensibles
31	,
32	no
33	porque
34	se
35	degraden
36	,
37	sino
38	porque
39	se
40	pierde
41	el
42	-
43	dopado
44	-
45	a
46	temperaturas
47	elevadas
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Recientemente	ADV	5	advmod
2	,	PUNCT	1	punct
3	Yoshino	PROPN	5	nsubj
4	ha	AUX	5	aux
5	patentado	VERB	0	root
6	un	DET	7	det
7	procedimiento	NOUN	5	obj
8	para	ADP	9	mark
9	moldear	VERB	7	acl
10	piezas	NOUN	9	obj
11	conductoras	ADJ	10	amod
12	de	ADP	13	case
13	poli-3-alquiltiofenos	NOUN	10	nmod
14	,	PUNCT	17	punct
15	lo	PRON	17	det
16	que	PRON	17	nsubj
17	supone	VERB	5	advcl
18	un	DET	20	det
19	notable	ADJ	20	amod
20	avance	NOUN	17	obj
21	,	PUNCT	30	punct
22	si	SCONJ	30	mark
23	bien	ADV	22	fixed
24	estos	DET	25	det
25	tipos	NOUN	30	nsubj
26	de	ADP	27	case
27	polímeros	NOUN	25	nmod
28	son	AUX	30	cop
29	térmicamente	ADV	30	advmod
30	sensibles	ADJ	17	advcl
31	,	PUNCT	35	punct
32	no	ADV	35	advmod
33	porque	SCONJ	35	mark
34	se	PRON	35	expl:pv
35	degraden	VERB	30	advcl
36	,	PUNCT	40	punct
37	sino	CCONJ	40	cc
38	porque	SCONJ	40	mark
39	se	PRON	40	expl:pass
40	pierde	VERB	35	conj
41	el	DET	43	det
42	-	PUNCT	43	punct
43	dopado	NOUN	40	nsubj
44	-	PUNCT	43	punct
45	a	ADP	46	case
46	temperaturas	NOUN	40	obl
47	elevadas	ADJ	46	amod
48	.	PUNCT	5	punct