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:
Una vez anclado el frente económico, habrá que revisar los argumentos en favor de la independencia, para adaptar la oferta de los separatistas a los deseos populares.
Postion	Tokenization
1	Una
2	vez
3	anclado
4	el
5	frente
6	económico
7	,
8	habrá
9	que
10	revisar
11	los
12	argumentos
13	en
14	favor
15	de
16	la
17	independencia
18	,
19	para
20	adaptar
21	la
22	oferta
23	de
24	los
25	separatistas
26	a
27	los
28	deseos
29	populares
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	vez	NOUN	3	obl
3	anclado	VERB	10	advcl
4	el	DET	5	det
5	frente	NOUN	3	nsubj
6	económico	ADJ	5	amod
7	,	PUNCT	3	punct
8	habrá	AUX	0	root
9	que	SCONJ	10	cc
10	revisar	VERB	8	conj
11	los	DET	12	det
12	argumentos	NOUN	10	obj
13	en	ADP	17	case
14	favor	NOUN	13	fixed
15	de	ADP	13	fixed
16	la	DET	17	det
17	independencia	NOUN	12	nmod
18	,	PUNCT	20	punct
19	para	ADP	20	mark
20	adaptar	VERB	10	advcl
21	la	DET	22	det
22	oferta	NOUN	20	obj
23	de	ADP	25	case
24	los	DET	25	det
25	separatistas	NOUN	22	nmod
26	a	ADP	28	case
27	los	DET	28	det
28	deseos	NOUN	20	obj
29	populares	ADJ	28	amod
30	.	PUNCT	8	punct