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 explicó, esta cantidad saldría de un Fondo para la Reconciliación, Paz y Colaboración, que crearían el Estado austriaco y las empresas que emplearon mano de obra gratuita durante el régimen de Adolf Hitler.
Postion	Tokenization
1	Según
2	explicó
3	,
4	esta
5	cantidad
6	saldría
7	de
8	un
9	Fondo
10	para
11	la
12	Reconciliación
13	,
14	Paz
15	y
16	Colaboración
17	,
18	que
19	crearían
20	el
21	Estado
22	austriaco
23	y
24	las
25	empresas
26	que
27	emplearon
28	mano
29	de
30	obra
31	gratuita
32	durante
33	el
34	régimen
35	de
36	Adolf
37	Hitler
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	SCONJ	2	mark
2	explicó	VERB	6	advcl
3	,	PUNCT	2	punct
4	esta	DET	5	det
5	cantidad	NOUN	6	nsubj
6	saldría	VERB	0	root
7	de	ADP	9	case
8	un	DET	9	det
9	Fondo	PROPN	6	obl
10	para	ADP	12	case
11	la	DET	12	det
12	Reconciliación	PROPN	9	flat
13	,	PUNCT	14	punct
14	Paz	PROPN	12	conj
15	y	CCONJ	16	cc
16	Colaboración	PROPN	12	conj
17	,	PUNCT	19	punct
18	que	PRON	19	obj
19	crearían	VERB	9	acl
20	el	DET	21	det
21	Estado	PROPN	19	nsubj
22	austriaco	ADJ	21	amod
23	y	CCONJ	25	cc
24	las	DET	25	det
25	empresas	NOUN	21	conj
26	que	PRON	27	nsubj
27	emplearon	VERB	25	acl
28	mano	NOUN	27	obj
29	de	ADP	30	case
30	obra	NOUN	28	nmod
31	gratuita	ADJ	28	amod
32	durante	ADP	34	case
33	el	DET	34	det
34	régimen	NOUN	27	obl
35	de	ADP	36	case
36	Adolf	PROPN	34	nmod
37	Hitler	PROPN	36	flat
38	.	PUNCT	6	punct