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:
Según Galloway, el Ministerio estaba absolutamente informado de su plan de volar a Irak con ayuda humanitaria y no se había opuesto al proyecto.
Postion	Tokenization
1	Según
2	Galloway
3	,
4	el
5	Ministerio
6	estaba
7	absolutamente
8	informado
9	de
10	su
11	plan
12	de
13	volar
14	a
15	Irak
16	con
17	ayuda
18	humanitaria
19	y
20	no
21	se
22	había
23	opuesto
24	al
25	proyecto
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Galloway	PROPN	8	obl
3	,	PUNCT	2	punct
4	el	DET	5	det
5	Ministerio	PROPN	8	nsubj
6	estaba	AUX	8	cop
7	absolutamente	ADV	8	advmod
8	informado	ADJ	0	root
9	de	ADP	11	case
10	su	DET	11	det
11	plan	NOUN	8	obj
12	de	ADP	13	mark
13	volar	VERB	11	acl
14	a	ADP	15	case
15	Irak	PROPN	13	obl
16	con	ADP	17	case
17	ayuda	NOUN	13	obl
18	humanitaria	ADJ	17	amod
19	y	CCONJ	23	cc
20	no	ADV	23	advmod
21	se	PRON	23	expl:pv
22	había	AUX	23	aux
23	opuesto	VERB	8	conj
24	al	ADP	25	case
25	proyecto	NOUN	23	obj
26	.	PUNCT	8	punct