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:
Según Industria, las ayudas al funcionamiento de las minas superan anualmente los 80.000 millones y en un año y medio se han aprobado proyectos de infraestructuras por 125.000 millones.
Postion	Tokenization
1	Según
2	Industria
3	,
4	las
5	ayudas
6	al
7	funcionamiento
8	de
9	las
10	minas
11	superan
12	anualmente
13	los
14	80.000
15	millones
16	y
17	en
18	un
19	año
20	y
21	medio
22	se
23	han
24	aprobado
25	proyectos
26	de
27	infraestructuras
28	por
29	125.000
30	millones
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Industria	PROPN	11	obl
3	,	PUNCT	2	punct
4	las	DET	5	det
5	ayudas	NOUN	11	nsubj
6	al	ADP	7	case
7	funcionamiento	NOUN	5	nmod
8	de	ADP	10	case
9	las	DET	10	det
10	minas	NOUN	7	nmod
11	superan	VERB	0	root
12	anualmente	ADV	11	advmod
13	los	DET	14	det
14	80.000	NUM	15	nummod
15	millones	NOUN	11	obj
16	y	CCONJ	24	cc
17	en	ADP	19	case
18	un	DET	19	det
19	año	NOUN	24	obl
20	y	CCONJ	21	cc
21	medio	NUM	19	conj
22	se	PRON	24	expl:pass
23	han	AUX	24	aux
24	aprobado	VERB	11	conj
25	proyectos	NOUN	24	nsubj
26	de	ADP	27	case
27	infraestructuras	NOUN	25	nmod
28	por	ADP	30	case
29	125.000	NUM	30	nummod
30	millones	NOUN	24	obl
31	.	PUNCT	11	punct