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:
Teresa Rivero, presidenta del Rayo, y el director general, su hijo Álvaro Ruiz-Mateos, acusaron ayer al Gobierno de ser el promotor de la campaña de acoso arbitral que sufre el club madrileño con el objetivo de mandarlo a Segunda División.
Postion	Tokenization
1	Teresa
2	Rivero
3	,
4	presidenta
5	del
6	Rayo
7	,
8	y
9	el
10	director
11	general
12	,
13	su
14	hijo
15	Álvaro
16	Ruiz-Mateos
17	,
18	acusaron
19	ayer
20	al
21	Gobierno
22	de
23	ser
24	el
25	promotor
26	de
27	la
28	campaña
29	de
30	acoso
31	arbitral
32	que
33	sufre
34	el
35	club
36	madrileño
37	con
38	el
39	objetivo
40	de
41	mandarlo
42	mandar
43	lo
44	a
45	Segunda
46	División
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Teresa	PROPN	18	nsubj
2	Rivero	PROPN	1	flat
3	,	PUNCT	4	punct
4	presidenta	NOUN	1	appos
5	del	ADP	6	case
6	Rayo	PROPN	4	nmod
7	,	PUNCT	4	punct
8	y	CCONJ	10	cc
9	el	DET	10	det
10	director	NOUN	1	conj
11	general	ADJ	10	amod
12	,	PUNCT	14	punct
13	su	DET	14	det
14	hijo	NOUN	10	appos
15	Álvaro	PROPN	14	appos
16	Ruiz-Mateos	PROPN	15	flat
17	,	PUNCT	14	punct
18	acusaron	VERB	0	root
19	ayer	ADV	18	advmod
20	al	ADP	21	case
21	Gobierno	PROPN	18	iobj
22	de	ADP	25	mark
23	ser	AUX	25	cop
24	el	DET	25	det
25	promotor	NOUN	18	xcomp
26	de	ADP	28	case
27	la	DET	28	det
28	campaña	NOUN	25	nmod
29	de	ADP	30	case
30	acoso	NOUN	28	nmod
31	arbitral	ADJ	30	amod
32	que	PRON	33	obj
33	sufre	VERB	28	acl
34	el	DET	35	det
35	club	NOUN	33	nsubj
36	madrileño	ADJ	35	amod
37	con	ADP	41	mark
38	el	DET	37	fixed
39	objetivo	NOUN	37	fixed
40	de	ADP	37	fixed
41	mandarlo	_	None	_
42	mandar	VERB	28	acl
43	lo	PRON	41	obj
44	a	ADP	44	case
45	Segunda	PROPN	41	obl
46	División	PROPN	44	flat
47	.	PUNCT	18	punct