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 el informe, la meta es vender el primer año no menos de 250 toneladas de café liofilizado (soluble), unos dos millones de frascos en presentaciones de cien y doscientos gramos, y subir luego hasta 4.000 toneladas, unos diez millones de unidades.
Postion	Tokenization
1	Según
2	el
3	informe
4	,
5	la
6	meta
7	es
8	vender
9	el
10	primer
11	año
12	no
13	menos
14	de
15	250
16	toneladas
17	de
18	café
19	liofilizado
20	(
21	soluble
22	)
23	,
24	unos
25	dos
26	millones
27	de
28	frascos
29	en
30	presentaciones
31	de
32	cien
33	y
34	doscientos
35	gramos
36	,
37	y
38	subir
39	luego
40	hasta
41	4.000
42	toneladas
43	,
44	unos
45	diez
46	millones
47	de
48	unidades
49	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	el	DET	3	det
3	informe	NOUN	7	obl
4	,	PUNCT	3	punct
5	la	DET	6	det
6	meta	NOUN	7	nsubj
7	es	AUX	0	root
8	vender	VERB	7	ccomp
9	el	DET	11	det
10	primer	ADJ	11	amod
11	año	NOUN	8	obl
12	no	ADV	16	advmod
13	menos	ADV	16	advmod
14	de	ADP	13	case
15	250	NUM	13	nummod
16	toneladas	NOUN	8	obj
17	de	ADP	18	case
18	café	NOUN	16	nmod
19	liofilizado	ADJ	18	amod
20	(	PUNCT	21	punct
21	soluble	ADJ	18	amod
22	)	PUNCT	21	punct
23	,	PUNCT	26	punct
24	unos	PRON	25	nmod
25	dos	NUM	26	nummod
26	millones	NOUN	16	appos
27	de	ADP	28	case
28	frascos	NOUN	26	nmod
29	en	ADP	30	case
30	presentaciones	NOUN	28	nmod
31	de	ADP	35	case
32	cien	NUM	35	nummod
33	y	CCONJ	34	cc
34	doscientos	NUM	32	conj
35	gramos	NOUN	30	nmod
36	,	PUNCT	16	punct
37	y	CCONJ	38	cc
38	subir	VERB	8	conj
39	luego	ADV	38	advmod
40	hasta	ADP	42	case
41	4.000	NUM	42	nummod
42	toneladas	NOUN	38	obl
43	,	PUNCT	46	punct
44	unos	PRON	45	nmod
45	diez	NUM	46	nummod
46	millones	NOUN	42	appos
47	de	ADP	48	case
48	unidades	NOUN	46	nmod
49	.	PUNCT	7	punct