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:
Estas declaraciones tuvieron lugar tras una reunión del comité bilateral de coordinación de Arabia Saudí y Yemen celebrada en Yeda, en la costa saudí del Mar Rojo.
Postion	Tokenization
1	Estas
2	declaraciones
3	tuvieron
4	lugar
5	tras
6	una
7	reunión
8	del
9	comité
10	bilateral
11	de
12	coordinación
13	de
14	Arabia
15	Saudí
16	y
17	Yemen
18	celebrada
19	en
20	Yeda
21	,
22	en
23	la
24	costa
25	saudí
26	del
27	Mar
28	Rojo
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Estas	DET	2	det
2	declaraciones	NOUN	3	nsubj
3	tuvieron	VERB	0	root
4	lugar	NOUN	3	compound
5	tras	ADP	7	case
6	una	DET	7	det
7	reunión	NOUN	3	obl
8	del	ADP	9	case
9	comité	NOUN	7	nmod
10	bilateral	ADJ	9	amod
11	de	ADP	12	case
12	coordinación	NOUN	9	nmod
13	de	ADP	14	case
14	Arabia	PROPN	9	nmod
15	Saudí	PROPN	14	flat
16	y	CCONJ	17	cc
17	Yemen	PROPN	14	conj
18	celebrada	ADJ	7	amod
19	en	ADP	20	case
20	Yeda	PROPN	18	obl
21	,	PUNCT	24	punct
22	en	ADP	24	case
23	la	DET	24	det
24	costa	NOUN	20	nmod
25	saudí	ADJ	24	amod
26	del	ADP	27	case
27	Mar	PROPN	24	nmod
28	Rojo	PROPN	27	flat
29	.	PUNCT	3	punct