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:
Dicen que cuando preguntaron a Henry Ford en qué colores fabricaría el automóvil Ford modelo T - el primero, el revolucionario -, Ford contestó que en cualquier color mientras fuese negro.
Postion	Tokenization
1	Dicen
2	que
3	cuando
4	preguntaron
5	a
6	Henry
7	Ford
8	en
9	qué
10	colores
11	fabricaría
12	el
13	automóvil
14	Ford
15	modelo
16	T
17	-
18	el
19	primero
20	,
21	el
22	revolucionario
23	-
24	,
25	Ford
26	contestó
27	que
28	en
29	cualquier
30	color
31	mientras
32	fuese
33	negro
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Dicen	VERB	0	root
2	que	SCONJ	26	mark
3	cuando	SCONJ	4	mark
4	preguntaron	VERB	26	advcl
5	a	ADP	6	case
6	Henry	PROPN	4	iobj
7	Ford	PROPN	6	flat
8	en	ADP	10	case
9	qué	DET	10	det
10	colores	NOUN	11	obl
11	fabricaría	VERB	4	ccomp
12	el	DET	13	det
13	automóvil	NOUN	11	obj
14	Ford	PROPN	13	appos
15	modelo	NOUN	13	appos
16	T	PROPN	15	appos
17	-	PUNCT	19	punct
18	el	DET	19	det
19	primero	ADJ	13	appos
20	,	PUNCT	19	punct
21	el	DET	22	det
22	revolucionario	NOUN	19	obj
23	-	PUNCT	19	punct
24	,	PUNCT	4	punct
25	Ford	PROPN	26	nsubj
26	contestó	VERB	1	ccomp
27	que	SCONJ	33	mark
28	en	ADP	30	case
29	cualquier	DET	30	det
30	color	NOUN	33	obl
31	mientras	SCONJ	33	mark
32	fuese	AUX	33	cop
33	negro	ADJ	26	ccomp
34	.	PUNCT	1	punct