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:
Mas restó gravedad a la subida de los carburantes y dijo que "la escalada de precios es claramente negativa y perjudicial para algunos sectores económicos como la pesca o la agricultura, pero, más allá de los sectores económicos, la subida no es preocupante, aunque sí molesta y causante de nerviosismo entre los ciudadanos por el desconocimiento y la incomprensión de los motivos de la subida".
Postion	Tokenization
1	Mas
2	restó
3	gravedad
4	a
5	la
6	subida
7	de
8	los
9	carburantes
10	y
11	dijo
12	que
13	"
14	la
15	escalada
16	de
17	precios
18	es
19	claramente
20	negativa
21	y
22	perjudicial
23	para
24	algunos
25	sectores
26	económicos
27	como
28	la
29	pesca
30	o
31	la
32	agricultura
33	,
34	pero
35	,
36	más
37	allá
38	de
39	los
40	sectores
41	económicos
42	,
43	la
44	subida
45	no
46	es
47	preocupante
48	,
49	aunque
50	sí
51	molesta
52	y
53	causante
54	de
55	nerviosismo
56	entre
57	los
58	ciudadanos
59	por
60	el
61	desconocimiento
62	y
63	la
64	incomprensión
65	de
66	los
67	motivos
68	de
69	la
70	subida
71	"
72	.
Position	Tokenization	UPOS	Head	Deprel
1	Mas	CCONJ	2	advmod
2	restó	VERB	0	root
3	gravedad	NOUN	2	obj
4	a	ADP	6	case
5	la	DET	6	det
6	subida	NOUN	2	obj
7	de	ADP	9	case
8	los	DET	9	det
9	carburantes	NOUN	6	nmod
10	y	CCONJ	11	cc
11	dijo	VERB	2	conj
12	que	SCONJ	20	mark
13	"	PUNCT	20	punct
14	la	DET	15	det
15	escalada	NOUN	20	nsubj
16	de	ADP	17	case
17	precios	NOUN	15	nmod
18	es	AUX	20	cop
19	claramente	ADV	20	advmod
20	negativa	ADJ	11	ccomp
21	y	CCONJ	22	cc
22	perjudicial	ADJ	20	conj
23	para	ADP	25	case
24	algunos	DET	25	det
25	sectores	NOUN	20	nmod
26	económicos	ADJ	25	amod
27	como	SCONJ	29	mark
28	la	DET	29	det
29	pesca	NOUN	25	nmod
30	o	CCONJ	32	cc
31	la	DET	32	det
32	agricultura	NOUN	29	conj
33	,	PUNCT	47	punct
34	pero	CCONJ	47	cc
35	,	PUNCT	37	punct
36	más	ADV	37	advmod
37	allá	ADV	47	advmod
38	de	ADP	40	case
39	los	DET	40	det
40	sectores	NOUN	37	obl
41	económicos	ADJ	40	amod
42	,	PUNCT	37	punct
43	la	DET	44	det
44	subida	NOUN	47	nsubj
45	no	ADV	47	advmod
46	es	AUX	47	cop
47	preocupante	ADJ	2	conj
48	,	PUNCT	50	punct
49	aunque	SCONJ	50	mark
50	sí	INTJ	47	advcl
51	molesta	ADJ	50	amod
52	y	CCONJ	53	cc
53	causante	ADJ	51	conj
54	de	ADP	55	case
55	nerviosismo	NOUN	53	nmod
56	entre	ADP	58	case
57	los	DET	58	det
58	ciudadanos	NOUN	55	nmod
59	por	ADP	61	case
60	el	DET	61	det
61	desconocimiento	NOUN	53	nmod
62	y	CCONJ	64	cc
63	la	DET	64	det
64	incomprensión	NOUN	61	conj
65	de	ADP	67	case
66	los	DET	67	det
67	motivos	NOUN	64	nmod
68	de	ADP	70	case
69	la	DET	70	det
70	subida	NOUN	67	nmod
71	"	PUNCT	2	punct
72	.	PUNCT	2	punct