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:
Las alternativas a los sistemas de compra habituales, como el comercio electrónico, están ganando mucha importancia e irán adquiriendo una gran relevancia.
Postion	Tokenization
1	Las
2	alternativas
3	a
4	los
5	sistemas
6	de
7	compra
8	habituales
9	,
10	como
11	el
12	comercio
13	electrónico
14	,
15	están
16	ganando
17	mucha
18	importancia
19	e
20	irán
21	adquiriendo
22	una
23	gran
24	relevancia
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	alternativas	NOUN	16	nsubj
3	a	ADP	5	case
4	los	DET	5	det
5	sistemas	NOUN	2	nmod
6	de	ADP	7	case
7	compra	NOUN	5	nmod
8	habituales	ADJ	5	amod
9	,	PUNCT	12	punct
10	como	SCONJ	12	mark
11	el	DET	12	det
12	comercio	NOUN	5	nmod
13	electrónico	ADJ	12	amod
14	,	PUNCT	12	punct
15	están	AUX	16	aux
16	ganando	VERB	0	root
17	mucha	DET	18	det
18	importancia	NOUN	16	obj
19	e	CCONJ	21	cc
20	irán	AUX	21	aux
21	adquiriendo	VERB	16	conj
22	una	DET	24	det
23	gran	ADJ	24	amod
24	relevancia	NOUN	21	obj
25	.	PUNCT	16	punct