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:
"La retirada no tardará dos años, sino unos meses, según han decidido ambos países", anunció ayer el titular saudí de Defensa, Sultan Ben Abdel Aziz, en rueda de prensa junto al primer ministro yemení, Abdel Karim Al Ariani.
Postion	Tokenization
1	"
2	La
3	retirada
4	no
5	tardará
6	dos
7	años
8	,
9	sino
10	unos
11	meses
12	,
13	según
14	han
15	decidido
16	ambos
17	países
18	"
19	,
20	anunció
21	ayer
22	el
23	titular
24	saudí
25	de
26	Defensa
27	,
28	Sultan
29	Ben
30	Abdel
31	Aziz
32	,
33	en
34	rueda
35	de
36	prensa
37	junto
38	al
39	primer
40	ministro
41	yemení
42	,
43	Abdel
44	Karim
45	Al
46	Ariani
47	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	La	DET	3	det
3	retirada	NOUN	5	nsubj
4	no	ADV	5	advmod
5	tardará	VERB	20	ccomp
6	dos	NUM	7	nummod
7	años	NOUN	5	obj
8	,	PUNCT	5	punct
9	sino	CCONJ	5	cc
10	unos	DET	11	det
11	meses	NOUN	5	obl
12	,	PUNCT	11	punct
13	según	SCONJ	15	mark
14	han	AUX	15	aux
15	decidido	VERB	5	advcl
16	ambos	NUM	17	nummod
17	países	NOUN	15	nsubj
18	"	PUNCT	5	punct
19	,	PUNCT	5	punct
20	anunció	VERB	0	root
21	ayer	ADV	20	advmod
22	el	DET	23	det
23	titular	NOUN	20	nsubj
24	saudí	ADJ	23	amod
25	de	ADP	26	case
26	Defensa	PROPN	23	nmod
27	,	PUNCT	28	punct
28	Sultan	PROPN	23	appos
29	Ben	PROPN	28	flat
30	Abdel	PROPN	28	flat
31	Aziz	PROPN	28	flat
32	,	PUNCT	28	punct
33	en	ADP	34	case
34	rueda	NOUN	20	obl
35	de	ADP	36	case
36	prensa	NOUN	34	nmod
37	junto	ADJ	40	case
38	al	ADP	37	fixed
39	primer	ADJ	40	amod
40	ministro	NOUN	20	obl
41	yemení	ADJ	40	amod
42	,	PUNCT	43	punct
43	Abdel	PROPN	40	appos
44	Karim	PROPN	43	flat
45	Al	ADP	46	case
46	Ariani	PROPN	43	flat
47	.	PUNCT	20	punct