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:
En concreto, el déficit de la rúbrica de rentas se situó en 259.200 millones, mientras que el superávit de transferencias fue de 325.200 millones.
Postion	Tokenization
1	En
2	concreto
3	,
4	el
5	déficit
6	de
7	la
8	rúbrica
9	de
10	rentas
11	se
12	situó
13	en
14	259.200
15	millones
16	,
17	mientras
18	que
19	el
20	superávit
21	de
22	transferencias
23	fue
24	de
25	325.200
26	millones
27	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	12	advmod
2	concreto	NOUN	1	fixed
3	,	PUNCT	1	punct
4	el	DET	5	det
5	déficit	NOUN	12	nsubj
6	de	ADP	8	case
7	la	DET	8	det
8	rúbrica	NOUN	5	nmod
9	de	ADP	10	case
10	rentas	NOUN	8	nmod
11	se	PRON	12	expl:pv
12	situó	VERB	17	parataxis
13	en	ADP	15	case
14	259.200	NUM	15	nummod
15	millones	NOUN	12	obj
16	,	PUNCT	17	punct
17	mientras	CCONJ	0	root
18	que	SCONJ	17	fixed
19	el	DET	20	det
20	superávit	NOUN	26	nsubj
21	de	ADP	22	case
22	transferencias	NOUN	20	nmod
23	fue	AUX	26	cop
24	de	ADP	26	case
25	325.200	NUM	26	nummod
26	millones	NOUN	17	parataxis
27	.	PUNCT	17	punct