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:
Lou DiBella, ejecutivo de la cadena de televisión por cable HBO, que tiene los derechos de Morales, dijo que su organización está lista para la revancha.
Postion	Tokenization
1	Lou
2	DiBella
3	,
4	ejecutivo
5	de
6	la
7	cadena
8	de
9	televisión
10	por
11	cable
12	HBO
13	,
14	que
15	tiene
16	los
17	derechos
18	de
19	Morales
20	,
21	dijo
22	que
23	su
24	organización
25	está
26	lista
27	para
28	la
29	revancha
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Lou	PROPN	21	nsubj
2	DiBella	PROPN	1	flat
3	,	PUNCT	4	punct
4	ejecutivo	NOUN	1	appos
5	de	ADP	7	case
6	la	DET	7	det
7	cadena	NOUN	4	nmod
8	de	ADP	9	case
9	televisión	NOUN	7	nmod
10	por	ADP	11	case
11	cable	NOUN	9	nmod
12	HBO	PROPN	7	appos
13	,	PUNCT	15	punct
14	que	PRON	15	nsubj
15	tiene	VERB	7	acl
16	los	DET	17	det
17	derechos	NOUN	15	obj
18	de	ADP	19	case
19	Morales	PROPN	17	nmod
20	,	PUNCT	15	punct
21	dijo	VERB	0	root
22	que	SCONJ	26	mark
23	su	DET	24	det
24	organización	NOUN	26	nsubj
25	está	AUX	26	cop
26	lista	ADJ	21	ccomp
27	para	ADP	29	case
28	la	DET	29	det
29	revancha	NOUN	26	obl
30	.	PUNCT	21	punct