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:
Laila Ali, hija del legendario ex campeón de boxeo Muhammad Ali, ha decidido seguir los pasos de su padre y ha anunciado que debutará como profesional de los cuadriláteros el próximo 8 de octubre.
Postion	Tokenization
1	Laila
2	Ali
3	,
4	hija
5	del
6	legendario
7	ex
8	campeón
9	de
10	boxeo
11	Muhammad
12	Ali
13	,
14	ha
15	decidido
16	seguir
17	los
18	pasos
19	de
20	su
21	padre
22	y
23	ha
24	anunciado
25	que
26	debutará
27	como
28	profesional
29	de
30	los
31	cuadriláteros
32	el
33	próximo
34	8
35	de
36	octubre
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Laila	PROPN	15	nsubj
2	Ali	ADV	1	flat
3	,	PUNCT	4	punct
4	hija	NOUN	1	appos
5	del	ADP	8	case
6	legendario	ADJ	8	amod
7	ex	ADJ	8	amod
8	campeón	NOUN	4	nmod
9	de	ADP	10	case
10	boxeo	NOUN	8	nmod
11	Muhammad	PROPN	8	appos
12	Ali	ADV	11	flat
13	,	PUNCT	4	punct
14	ha	AUX	15	aux
15	decidido	VERB	0	root
16	seguir	VERB	15	xcomp
17	los	DET	18	det
18	pasos	NOUN	16	obj
19	de	ADP	21	case
20	su	DET	21	det
21	padre	NOUN	18	nmod
22	y	CCONJ	24	cc
23	ha	AUX	24	aux
24	anunciado	VERB	15	conj
25	que	SCONJ	26	mark
26	debutará	VERB	24	ccomp
27	como	SCONJ	28	mark
28	profesional	NOUN	26	obj
29	de	ADP	31	case
30	los	DET	31	det
31	cuadriláteros	NOUN	28	nmod
32	el	DET	34	det
33	próximo	ADJ	34	amod
34	8	NUM	26	obl
35	de	ADP	36	case
36	octubre	NOUN	34	compound
37	.	PUNCT	15	punct