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 Modelo sería el resultado de esa experiencia, un coche del que, de 1908 a 1928, se vendieron 15.800.000, récord del siglo hasta la llegada del escarabajo de Volkswagen.
Postion	Tokenization
1	El
2	Modelo
3	sería
4	el
5	resultado
6	de
7	esa
8	experiencia
9	,
10	un
11	coche
12	del
13	que
14	,
15	de
16	1908
17	a
18	1928
19	,
20	se
21	vendieron
22	15.800.000
23	,
24	récord
25	del
26	siglo
27	hasta
28	la
29	llegada
30	del
31	escarabajo
32	de
33	Volkswagen
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Modelo	PROPN	5	nsubj
3	sería	AUX	5	cop
4	el	DET	5	det
5	resultado	NOUN	0	root
6	de	ADP	8	case
7	esa	DET	8	det
8	experiencia	NOUN	5	nmod
9	,	PUNCT	5	punct
10	un	DET	11	det
11	coche	NOUN	5	appos
12	del	ADP	13	case
13	que	PRON	21	obl
14	,	PUNCT	16	punct
15	de	ADP	16	case
16	1908	NOUN	21	obl
17	a	ADP	18	case
18	1928	NOUN	16	nmod
19	,	PUNCT	16	punct
20	se	PRON	21	expl:pass
21	vendieron	VERB	11	acl
22	15.800.000	NUM	21	nsubj
23	,	PUNCT	24	punct
24	récord	NOUN	22	appos
25	del	ADP	26	case
26	siglo	NOUN	24	nmod
27	hasta	ADP	29	case
28	la	DET	29	det
29	llegada	NOUN	24	nmod
30	del	ADP	31	case
31	escarabajo	NOUN	29	nmod
32	de	ADP	33	case
33	Volkswagen	PROPN	31	nmod
34	.	PUNCT	5	punct