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:
- Yo voy a democratizar el automóvil - decía Ford - y cuando lo haga todo el mundo podrá comprar uno y casi todo el mundo tendrá uno.
Postion	Tokenization
1	-
2	Yo
3	voy
4	a
5	democratizar
6	el
7	automóvil
8	-
9	decía
10	Ford
11	-
12	y
13	cuando
14	lo
15	haga
16	todo
17	el
18	mundo
19	podrá
20	comprar
21	uno
22	y
23	casi
24	todo
25	el
26	mundo
27	tendrá
28	uno
29	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	5	punct
2	Yo	PRON	5	nsubj
3	voy	AUX	5	aux
4	a	ADP	5	mark
5	democratizar	VERB	0	root
6	el	DET	7	det
7	automóvil	NOUN	5	obj
8	-	PUNCT	9	punct
9	decía	VERB	5	parataxis
10	Ford	PROPN	9	nsubj
11	-	PUNCT	9	punct
12	y	CCONJ	15	cc
13	cuando	SCONJ	15	mark
14	lo	PRON	15	obj
15	haga	VERB	5	conj
16	todo	DET	17	det
17	el	DET	18	det
18	mundo	NOUN	20	nsubj
19	podrá	AUX	20	aux
20	comprar	VERB	15	advcl
21	uno	PRON	20	obj
22	y	CCONJ	27	cc
23	casi	ADV	25	advmod
24	todo	DET	25	det
25	el	DET	26	det
26	mundo	NOUN	27	nsubj
27	tendrá	VERB	20	conj
28	uno	PRON	27	obj
29	.	PUNCT	5	punct