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:
Las palabras de Sammy Alí, un joven yemení que vive en Nueva York, demuestran que, tras el 11 de septiembre, las cosas han cambiado para los árabes en EEUU.
Postion	Tokenization
1	Las
2	palabras
3	de
4	Sammy
5	Alí
6	,
7	un
8	joven
9	yemení
10	que
11	vive
12	en
13	Nueva
14	York
15	,
16	demuestran
17	que
18	,
19	tras
20	el
21	11
22	de
23	septiembre
24	,
25	las
26	cosas
27	han
28	cambiado
29	para
30	los
31	árabes
32	en
33	EEUU
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	palabras	NOUN	16	nsubj
3	de	ADP	4	case
4	Sammy	PROPN	2	nmod
5	Alí	PROPN	4	flat
6	,	PUNCT	8	punct
7	un	DET	8	det
8	joven	NOUN	4	appos
9	yemení	ADJ	8	amod
10	que	PRON	11	nsubj
11	vive	VERB	8	acl
12	en	ADP	13	case
13	Nueva	PROPN	11	obl
14	York	PROPN	13	flat
15	,	PUNCT	8	punct
16	demuestran	VERB	0	root
17	que	SCONJ	28	mark
18	,	PUNCT	21	punct
19	tras	ADP	21	case
20	el	DET	21	det
21	11	NUM	28	obl
22	de	ADP	23	case
23	septiembre	NOUN	21	compound
24	,	PUNCT	21	punct
25	las	DET	26	det
26	cosas	NOUN	28	nsubj
27	han	AUX	28	aux
28	cambiado	VERB	16	ccomp
29	para	ADP	31	case
30	los	DET	31	det
31	árabes	NOUN	28	obl
32	en	ADP	33	case
33	EEUU	PROPN	28	obl
34	.	PUNCT	16	punct