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:
Dos helicópteros de las Reales Fuerzas Aéreas ayudaron a transportar a los heridos, que fueron trasladados a centros hospitalarios de la región.
Postion	Tokenization
1	Dos
2	helicópteros
3	de
4	las
5	Reales
6	Fuerzas
7	Aéreas
8	ayudaron
9	a
10	transportar
11	a
12	los
13	heridos
14	,
15	que
16	fueron
17	trasladados
18	a
19	centros
20	hospitalarios
21	de
22	la
23	región
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Dos	NUM	2	nummod
2	helicópteros	NOUN	8	nsubj
3	de	ADP	5	case
4	las	DET	5	det
5	Reales	PROPN	2	nmod
6	Fuerzas	PROPN	5	flat
7	Aéreas	PROPN	5	flat
8	ayudaron	VERB	0	root
9	a	ADP	10	mark
10	transportar	VERB	8	xcomp
11	a	ADP	13	case
12	los	DET	13	det
13	heridos	NOUN	10	obj
14	,	PUNCT	17	punct
15	que	PRON	17	nsubj
16	fueron	AUX	17	aux
17	trasladados	VERB	13	acl
18	a	ADP	19	case
19	centros	NOUN	17	obl
20	hospitalarios	ADJ	19	amod
21	de	ADP	23	case
22	la	DET	23	det
23	región	NOUN	19	nmod
24	.	PUNCT	8	punct