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:
"Los musulmanes en América son ahora la imagen del crimen - - confiesa un apesadumbrado Hakim Olajuwon, una de las estrellas de la NBA - -.
Postion	Tokenization
1	"
2	Los
3	musulmanes
4	en
5	América
6	son
7	ahora
8	la
9	imagen
10	del
11	crimen
12	-
13	-
14	confiesa
15	un
16	apesadumbrado
17	Hakim
18	Olajuwon
19	,
20	una
21	de
22	las
23	estrellas
24	de
25	la
26	NBA
27	-
28	-
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	9	punct
2	Los	DET	3	det
3	musulmanes	NOUN	9	nsubj
4	en	ADP	5	case
5	América	PROPN	9	obl
6	son	AUX	9	cop
7	ahora	ADV	9	advmod
8	la	DET	9	det
9	imagen	NOUN	14	ccomp
10	del	ADP	11	case
11	crimen	NOUN	9	nmod
12	-	PUNCT	14	punct
13	-	PUNCT	14	punct
14	confiesa	VERB	0	root
15	un	DET	17	det
16	apesadumbrado	ADJ	17	amod
17	Hakim	PROPN	14	nsubj
18	Olajuwon	PROPN	17	flat
19	,	PUNCT	20	punct
20	una	PRON	17	appos
21	de	ADP	23	case
22	las	DET	23	det
23	estrellas	NOUN	20	nmod
24	de	ADP	26	case
25	la	DET	26	det
26	NBA	PROPN	23	nmod
27	-	PUNCT	14	punct
28	-	PUNCT	14	punct
29	.	PUNCT	14	punct