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:
La "ayuda" - - como consta textualmente en el texto del Govern - - que aprobó el Consell Executiu el Martes oscilará entre las 5.410 pesetas que cobrarán los perceptores de pensiones asistenciales y de invalidez, y el abanico de 2.610 a 7.800 que ingresarán los beneficiarios de pensiones no contributivas, según el año en el que empezaron a cobrar el subsidio, tal como informó ayer EL PERIODICO.
Postion	Tokenization
1	La
2	"
3	ayuda
4	"
5	-
6	-
7	como
8	consta
9	textualmente
10	en
11	el
12	texto
13	del
14	Govern
15	-
16	-
17	que
18	aprobó
19	el
20	Consell
21	Executiu
22	el
23	Martes
24	oscilará
25	entre
26	las
27	5.410
28	pesetas
29	que
30	cobrarán
31	los
32	perceptores
33	de
34	pensiones
35	asistenciales
36	y
37	de
38	invalidez
39	,
40	y
41	el
42	abanico
43	de
44	2.610
45	a
46	7.800
47	que
48	ingresarán
49	los
50	beneficiarios
51	de
52	pensiones
53	no
54	contributivas
55	,
56	según
57	el
58	año
59	en
60	el
61	que
62	empezaron
63	a
64	cobrar
65	el
66	subsidio
67	,
68	tal
69	como
70	informó
71	ayer
72	EL
73	PERIODICO
74	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	"	PUNCT	3	punct
3	ayuda	NOUN	24	nsubj
4	"	PUNCT	3	punct
5	-	PUNCT	8	punct
6	-	PUNCT	8	punct
7	como	SCONJ	8	mark
8	consta	VERB	24	advcl
9	textualmente	ADV	8	advmod
10	en	ADP	12	case
11	el	DET	12	det
12	texto	NOUN	8	obl
13	del	ADP	14	case
14	Govern	PROPN	12	nmod
15	-	PUNCT	8	punct
16	-	PUNCT	8	punct
17	que	PRON	18	obj
18	aprobó	VERB	24	advcl
19	el	DET	20	det
20	Consell	PROPN	18	nsubj
21	Executiu	PROPN	20	flat
22	el	DET	23	det
23	Martes	NOUN	18	obl
24	oscilará	VERB	0	root
25	entre	ADP	28	case
26	las	DET	27	det
27	5.410	NUM	28	nummod
28	pesetas	NOUN	24	obl
29	que	PRON	30	obj
30	cobrarán	VERB	28	acl
31	los	DET	32	det
32	perceptores	NOUN	30	nsubj
33	de	ADP	34	case
34	pensiones	NOUN	32	nmod
35	asistenciales	ADJ	34	amod
36	y	CCONJ	38	cc
37	de	ADP	38	case
38	invalidez	NOUN	35	conj
39	,	PUNCT	42	punct
40	y	CCONJ	42	cc
41	el	DET	42	det
42	abanico	NOUN	28	conj
43	de	ADP	44	case
44	2.610	NUM	42	nummod
45	a	ADP	46	case
46	7.800	NUM	44	nummod
47	que	PRON	48	obj
48	ingresarán	VERB	42	acl
49	los	DET	50	det
50	beneficiarios	NOUN	48	nsubj
51	de	ADP	52	case
52	pensiones	NOUN	50	nmod
53	no	ADV	54	advmod
54	contributivas	ADJ	52	amod
55	,	PUNCT	58	punct
56	según	ADP	58	case
57	el	DET	58	det
58	año	NOUN	48	obl
59	en	ADP	61	case
60	el	DET	61	det
61	que	PRON	62	obl
62	empezaron	VERB	58	acl
63	a	ADP	64	mark
64	cobrar	VERB	62	xcomp
65	el	DET	66	det
66	subsidio	NOUN	64	obj
67	,	PUNCT	70	punct
68	tal	NOUN	70	mark
69	como	SCONJ	68	fixed
70	informó	VERB	24	advcl
71	ayer	ADV	70	advmod
72	EL	DET	73	det
73	PERIODICO	PROPN	70	nsubj
74	.	PUNCT	24	punct