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 madrileño aseguró ayer que ha escogido la opción de Ford porque quiere seguir ganando carreras, según comentó el nuevo hombre de la marca del óvalo.
Postion	Tokenization
1	El
2	madrileño
3	aseguró
4	ayer
5	que
6	ha
7	escogido
8	la
9	opción
10	de
11	Ford
12	porque
13	quiere
14	seguir
15	ganando
16	carreras
17	,
18	según
19	comentó
20	el
21	nuevo
22	hombre
23	de
24	la
25	marca
26	del
27	óvalo
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	madrileño	NOUN	3	nsubj
3	aseguró	VERB	0	root
4	ayer	ADV	3	advmod
5	que	SCONJ	7	mark
6	ha	AUX	7	aux
7	escogido	VERB	3	ccomp
8	la	DET	9	det
9	opción	NOUN	7	obj
10	de	ADP	11	case
11	Ford	PROPN	9	nmod
12	porque	SCONJ	13	mark
13	quiere	VERB	7	advcl
14	seguir	VERB	13	ccomp
15	ganando	VERB	14	xcomp
16	carreras	NOUN	15	obj
17	,	PUNCT	19	punct
18	según	SCONJ	19	mark
19	comentó	VERB	13	advcl
20	el	DET	22	det
21	nuevo	ADJ	22	amod
22	hombre	NOUN	19	nsubj
23	de	ADP	25	case
24	la	DET	25	det
25	marca	NOUN	22	nmod
26	del	ADP	27	case
27	óvalo	NOUN	25	nmod
28	.	PUNCT	3	punct