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:
En estos últimos años, la Ford ha bautizado a sus modelos con palabras: Escort, Cortina, Sierra, Granada, Scorpio, Orion... a los que hace poco se ha añadido el Mondeo.
Postion	Tokenization
1	En
2	estos
3	últimos
4	años
5	,
6	la
7	Ford
8	ha
9	bautizado
10	a
11	sus
12	modelos
13	con
14	palabras
15	:
16	Escort
17	,
18	Cortina
19	,
20	Sierra
21	,
22	Granada
23	,
24	Scorpio
25	,
26	Orion
27	...
28	a
29	los
30	que
31	hace
32	poco
33	se
34	ha
35	añadido
36	el
37	Mondeo
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	estos	DET	4	det
3	últimos	ADJ	4	amod
4	años	NOUN	9	obl
5	,	PUNCT	4	punct
6	la	DET	7	det
7	Ford	PROPN	9	nsubj
8	ha	AUX	9	aux
9	bautizado	VERB	0	root
10	a	ADP	12	case
11	sus	DET	12	det
12	modelos	NOUN	9	obj
13	con	ADP	14	case
14	palabras	NOUN	9	obl
15	:	PUNCT	16	punct
16	Escort	PROPN	14	appos
17	,	PUNCT	18	punct
18	Cortina	PROPN	16	conj
19	,	PUNCT	20	punct
20	Sierra	PROPN	16	conj
21	,	PUNCT	22	punct
22	Granada	PROPN	16	conj
23	,	PUNCT	24	punct
24	Scorpio	PROPN	16	conj
25	,	PUNCT	26	punct
26	Orion	PROPN	16	conj
27	...	PUNCT	16	punct
28	a	ADP	30	case
29	los	DET	30	det
30	que	PRON	35	obj
31	hace	VERB	35	advcl
32	poco	PRON	31	obj
33	se	PRON	35	expl:pass
34	ha	AUX	35	aux
35	añadido	VERB	16	acl
36	el	DET	37	det
37	Mondeo	PROPN	35	nsubj
38	.	PUNCT	9	punct