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:
Suárez Blanco presentó hoy ante la Asamblea General Ordinaria de Caja Rural las cuentas anuales de 1999 y avanzó los resultados del actual ejercicio en el que, durante los cinco primeros meses, la sociedad logró unos beneficios después de impuestos de 962 millones de pesetas, un 1,32 por ciento más que en el mismo periodo del pasado año.
Postion	Tokenization
1	Suárez
2	Blanco
3	presentó
4	hoy
5	ante
6	la
7	Asamblea
8	General
9	Ordinaria
10	de
11	Caja
12	Rural
13	las
14	cuentas
15	anuales
16	de
17	1999
18	y
19	avanzó
20	los
21	resultados
22	del
23	actual
24	ejercicio
25	en
26	el
27	que
28	,
29	durante
30	los
31	cinco
32	primeros
33	meses
34	,
35	la
36	sociedad
37	logró
38	unos
39	beneficios
40	después
41	de
42	impuestos
43	de
44	962
45	millones
46	de
47	pesetas
48	,
49	un
50	1,32
51	por
52	ciento
53	más
54	que
55	en
56	el
57	mismo
58	periodo
59	del
60	pasado
61	año
62	.
Position	Tokenization	UPOS	Head	Deprel
1	Suárez	PROPN	3	nsubj
2	Blanco	PROPN	1	flat
3	presentó	VERB	0	root
4	hoy	ADV	3	advmod
5	ante	ADP	7	case
6	la	DET	7	det
7	Asamblea	PROPN	3	obl
8	General	PROPN	7	flat
9	Ordinaria	PROPN	7	flat
10	de	ADP	11	case
11	Caja	PROPN	7	flat
12	Rural	PROPN	7	flat
13	las	DET	14	det
14	cuentas	NOUN	3	obj
15	anuales	ADJ	14	amod
16	de	ADP	17	case
17	1999	NOUN	14	nmod
18	y	CCONJ	19	cc
19	avanzó	VERB	3	conj
20	los	DET	21	det
21	resultados	NOUN	19	obj
22	del	ADP	24	case
23	actual	ADJ	24	amod
24	ejercicio	NOUN	21	nmod
25	en	ADP	27	case
26	el	DET	27	det
27	que	PRON	37	obl
28	,	PUNCT	33	punct
29	durante	ADP	33	case
30	los	DET	33	det
31	cinco	NUM	30	nummod
32	primeros	ADJ	33	amod
33	meses	NOUN	37	obl
34	,	PUNCT	33	punct
35	la	DET	36	det
36	sociedad	NOUN	37	nsubj
37	logró	VERB	24	acl
38	unos	DET	39	det
39	beneficios	NOUN	37	obj
40	después	ADV	39	advmod
41	de	ADP	42	case
42	impuestos	NOUN	40	obl
43	de	ADP	45	case
44	962	NUM	45	nummod
45	millones	NOUN	39	nmod
46	de	ADP	47	case
47	pesetas	NOUN	45	nmod
48	,	PUNCT	50	punct
49	un	DET	50	det
50	1,32	NUM	45	appos
51	por	ADP	52	case
52	ciento	NUM	50	compound
53	más	ADV	50	advmod
54	que	SCONJ	58	mark
55	en	ADP	58	case
56	el	DET	58	det
57	mismo	DET	56	det
58	periodo	NOUN	50	obl
59	del	ADP	61	case
60	pasado	ADJ	61	amod
61	año	NOUN	58	nmod
62	.	PUNCT	3	punct