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:
El informe asegura que el segundo año serán vendidas quinientas toneladas de café liofilizado y el tercero mil, se mantendrá la venta actual de mil toneladas a granel y se llegará a los consumidores de otras naciones europeas con 2.000 toneladas más de las 8.000 que produce la fábrica
Postion	Tokenization
1	El
2	informe
3	asegura
4	que
5	el
6	segundo
7	año
8	serán
9	vendidas
10	quinientas
11	toneladas
12	de
13	café
14	liofilizado
15	y
16	el
17	tercero
18	mil
19	,
20	se
21	mantendrá
22	la
23	venta
24	actual
25	de
26	mil
27	toneladas
28	a
29	granel
30	y
31	se
32	llegará
33	a
34	los
35	consumidores
36	de
37	otras
38	naciones
39	europeas
40	con
41	2.000
42	toneladas
43	más
44	de
45	las
46	8.000
47	que
48	produce
49	la
50	fábrica
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	informe	NOUN	3	nsubj
3	asegura	VERB	0	root
4	que	SCONJ	9	mark
5	el	DET	7	det
6	segundo	ADJ	7	amod
7	año	NOUN	9	obl
8	serán	AUX	9	aux
9	vendidas	VERB	3	ccomp
10	quinientas	NUM	11	nummod
11	toneladas	NOUN	9	nsubj
12	de	ADP	13	case
13	café	NOUN	11	nmod
14	liofilizado	ADJ	13	amod
15	y	CCONJ	17	cc
16	el	DET	17	det
17	tercero	ADJ	11	conj
18	mil	NUM	17	obj
19	,	PUNCT	21	punct
20	se	PRON	21	expl:pass
21	mantendrá	VERB	9	advcl
22	la	DET	23	det
23	venta	NOUN	21	nsubj
24	actual	ADJ	23	amod
25	de	ADP	27	case
26	mil	NUM	27	nummod
27	toneladas	NOUN	23	nmod
28	a	ADP	27	advmod
29	granel	NOUN	28	fixed
30	y	CCONJ	32	cc
31	se	PRON	32	expl:impers
32	llegará	VERB	9	conj
33	a	ADP	35	case
34	los	DET	35	det
35	consumidores	NOUN	32	obl
36	de	ADP	38	case
37	otras	DET	38	det
38	naciones	NOUN	35	nmod
39	europeas	ADJ	38	amod
40	con	ADP	42	case
41	2.000	NUM	42	nummod
42	toneladas	NOUN	32	obl
43	más	ADV	42	advmod
44	de	ADP	46	case
45	las	DET	46	det
46	8.000	NUM	42	nummod
47	que	PRON	48	obj
48	produce	VERB	46	advcl
49	la	DET	50	det
50	fábrica	NOUN	48	nsubj