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 hecho de la aparición del C5 fue aprovechado por el máximo responsable de Citroen para asegurar que las ventas de berlinas no han caído en el mercado por el efecto de la progresión de vehículos como el monovolumen.
Postion	Tokenization
1	El
2	hecho
3	de
4	la
5	aparición
6	del
7	C5
8	fue
9	aprovechado
10	por
11	el
12	máximo
13	responsable
14	de
15	Citroen
16	para
17	asegurar
18	que
19	las
20	ventas
21	de
22	berlinas
23	no
24	han
25	caído
26	en
27	el
28	mercado
29	por
30	el
31	efecto
32	de
33	la
34	progresión
35	de
36	vehículos
37	como
38	el
39	monovolumen
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	hecho	NOUN	9	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	aparición	NOUN	2	nmod
6	del	ADP	7	case
7	C5	PROPN	5	nmod
8	fue	AUX	9	aux
9	aprovechado	VERB	0	root
10	por	ADP	13	case
11	el	DET	13	det
12	máximo	ADJ	13	amod
13	responsable	NOUN	9	obj
14	de	ADP	15	case
15	Citroen	PROPN	13	nmod
16	para	ADP	17	mark
17	asegurar	VERB	9	advcl
18	que	SCONJ	17	mark
19	las	DET	20	det
20	ventas	NOUN	17	nsubj
21	de	ADP	22	case
22	berlinas	NOUN	20	nmod
23	no	ADV	17	advmod
24	han	AUX	17	aux
25	caído	VERB	17	xcomp
26	en	ADP	28	case
27	el	DET	28	det
28	mercado	NOUN	17	obl
29	por	ADP	31	case
30	el	DET	31	det
31	efecto	NOUN	17	obl
32	de	ADP	34	case
33	la	DET	34	det
34	progresión	NOUN	31	nmod
35	de	ADP	36	case
36	vehículos	NOUN	34	nmod
37	como	SCONJ	39	mark
38	el	DET	39	det
39	monovolumen	NOUN	36	nmod
40	.	PUNCT	9	punct