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 Ministerio de Asuntos Exteriores del Reino Unido detuvo un avión británico con ayuda humanitaria a Irak momentos antes de despegar, denunció hoy, lunes, el diputado laborista George Galloway.
Postion	Tokenization
1	El
2	Ministerio
3	de
4	Asuntos
5	Exteriores
6	del
7	Reino
8	Unido
9	detuvo
10	un
11	avión
12	británico
13	con
14	ayuda
15	humanitaria
16	a
17	Irak
18	momentos
19	antes
20	de
21	despegar
22	,
23	denunció
24	hoy
25	,
26	lunes
27	,
28	el
29	diputado
30	laborista
31	George
32	Galloway
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Ministerio	PROPN	9	nsubj
3	de	ADP	4	case
4	Asuntos	PROPN	2	flat
5	Exteriores	PROPN	4	flat
6	del	ADP	7	case
7	Reino	PROPN	4	flat
8	Unido	PROPN	4	flat
9	detuvo	VERB	23	ccomp
10	un	DET	11	det
11	avión	NOUN	9	obj
12	británico	ADJ	11	amod
13	con	ADP	14	case
14	ayuda	NOUN	11	nmod
15	humanitaria	ADJ	14	amod
16	a	ADP	17	case
17	Irak	PROPN	14	nmod
18	momentos	NOUN	19	obl
19	antes	ADV	9	advmod
20	de	ADP	21	mark
21	despegar	VERB	19	advcl
22	,	PUNCT	9	punct
23	denunció	VERB	0	root
24	hoy	ADV	23	advmod
25	,	PUNCT	26	punct
26	lunes	NOUN	24	obl
27	,	PUNCT	26	punct
28	el	DET	29	det
29	diputado	NOUN	23	nsubj
30	laborista	ADJ	29	amod
31	George	PROPN	29	appos
32	Galloway	PROPN	31	flat
33	.	PUNCT	23	punct