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:
El representante de Arabia Saudí añadió que, mientras dure la retirada, Yemen estará autorizado a ocupar las posiciones abandonadas por las tropas de Riad.
Postion	Tokenization
1	El
2	representante
3	de
4	Arabia
5	Saudí
6	añadió
7	que
8	,
9	mientras
10	dure
11	la
12	retirada
13	,
14	Yemen
15	estará
16	autorizado
17	a
18	ocupar
19	las
20	posiciones
21	abandonadas
22	por
23	las
24	tropas
25	de
26	Riad
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	representante	NOUN	6	nsubj
3	de	ADP	4	case
4	Arabia	PROPN	2	nmod
5	Saudí	PROPN	4	flat
6	añadió	VERB	0	root
7	que	SCONJ	16	mark
8	,	PUNCT	10	punct
9	mientras	SCONJ	10	mark
10	dure	VERB	16	advcl
11	la	DET	12	det
12	retirada	NOUN	10	nsubj
13	,	PUNCT	10	punct
14	Yemen	PROPN	16	nsubj
15	estará	AUX	16	cop
16	autorizado	ADJ	6	ccomp
17	a	ADP	18	mark
18	ocupar	VERB	16	xcomp
19	las	DET	20	det
20	posiciones	NOUN	18	obj
21	abandonadas	ADJ	20	amod
22	por	ADP	24	case
23	las	DET	24	det
24	tropas	NOUN	21	obj
25	de	ADP	26	case
26	Riad	PROPN	24	nmod
27	.	PUNCT	6	punct