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:
De enero a marzo, el déficit por cuenta corriente alcanzó los 79.800 millones de pesetas, frente al superávit de 48.900 millones registrado en igual periodo del año anterior, según informó ayer el Banco de España.
Postion	Tokenization
1	De
2	enero
3	a
4	marzo
5	,
6	el
7	déficit
8	por
9	cuenta
10	corriente
11	alcanzó
12	los
13	79.800
14	millones
15	de
16	pesetas
17	,
18	frente
19	al
20	superávit
21	de
22	48.900
23	millones
24	registrado
25	en
26	igual
27	periodo
28	del
29	año
30	anterior
31	,
32	según
33	informó
34	ayer
35	el
36	Banco
37	de
38	España
39	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	2	case
2	enero	NOUN	11	obl
3	a	ADP	4	case
4	marzo	NOUN	2	nmod
5	,	PUNCT	2	punct
6	el	DET	7	det
7	déficit	NOUN	11	nsubj
8	por	ADP	9	case
9	cuenta	NOUN	7	nmod
10	corriente	NOUN	9	compound
11	alcanzó	VERB	0	root
12	los	DET	13	det
13	79.800	NUM	14	nummod
14	millones	NOUN	11	obj
15	de	ADP	16	case
16	pesetas	NOUN	14	nmod
17	,	PUNCT	20	punct
18	frente	NOUN	20	case
19	al	ADP	18	fixed
20	superávit	NOUN	14	nmod
21	de	ADP	23	case
22	48.900	NUM	23	nummod
23	millones	NOUN	20	nmod
24	registrado	ADJ	20	amod
25	en	ADP	27	case
26	igual	ADJ	27	amod
27	periodo	NOUN	24	obl
28	del	ADP	29	case
29	año	NOUN	27	nmod
30	anterior	ADJ	29	amod
31	,	PUNCT	20	punct
32	según	ADP	33	mark
33	informó	VERB	11	advcl
34	ayer	ADV	33	advmod
35	el	DET	36	det
36	Banco	PROPN	33	nsubj
37	de	ADP	38	case
38	España	PROPN	36	flat
39	.	PUNCT	11	punct