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:
Sin embargo, los beneficios aportados, más los generados en el resto de la región, han contribuido notablemente a cumplir sus previsiones.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	los
5	beneficios
6	aportados
7	,
8	más
9	los
10	generados
11	en
12	el
13	resto
14	de
15	la
16	región
17	,
18	han
19	contribuido
20	notablemente
21	a
22	cumplir
23	sus
24	previsiones
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	19	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	los	DET	5	det
5	beneficios	NOUN	19	nsubj
6	aportados	ADJ	5	amod
7	,	PUNCT	10	punct
8	más	ADV	10	cc
9	los	DET	10	det
10	generados	ADJ	5	conj
11	en	ADP	13	case
12	el	DET	13	det
13	resto	NOUN	10	obl
14	de	ADP	16	case
15	la	DET	16	det
16	región	NOUN	13	nmod
17	,	PUNCT	5	punct
18	han	AUX	19	aux
19	contribuido	VERB	0	root
20	notablemente	ADV	19	advmod
21	a	ADP	22	mark
22	cumplir	VERB	19	xcomp
23	sus	DET	24	det
24	previsiones	NOUN	22	obj
25	.	PUNCT	19	punct