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:
Portugal aprovechó para defender la solidaridad y la cohesión dentro de la UE, amenazados por el plan de los países ricos de recortar las ayudas.
Postion	Tokenization
1	Portugal
2	aprovechó
3	para
4	defender
5	la
6	solidaridad
7	y
8	la
9	cohesión
10	dentro
11	de
12	la
13	UE
14	,
15	amenazados
16	por
17	el
18	plan
19	de
20	los
21	países
22	ricos
23	de
24	recortar
25	las
26	ayudas
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Portugal	PROPN	2	nsubj
2	aprovechó	VERB	0	root
3	para	ADP	4	mark
4	defender	VERB	2	advcl
5	la	DET	6	det
6	solidaridad	NOUN	4	obj
7	y	CCONJ	9	cc
8	la	DET	9	det
9	cohesión	NOUN	6	conj
10	dentro	ADV	4	advmod
11	de	ADP	13	case
12	la	DET	13	det
13	UE	PROPN	10	obl
14	,	PUNCT	15	punct
15	amenazados	ADJ	2	advmod
16	por	ADP	18	case
17	el	DET	18	det
18	plan	NOUN	15	obj
19	de	ADP	21	case
20	los	DET	21	det
21	países	NOUN	18	nmod
22	ricos	ADJ	21	amod
23	de	ADP	24	mark
24	recortar	VERB	18	acl
25	las	DET	26	det
26	ayudas	NOUN	24	obj
27	.	PUNCT	2	punct