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:
Además, confirmó que la marca de lujo Rolls Royce, adherida igualmente a BMW, permanecerá en el Reino Unido, por su añeja tradición británica y sus dimensiones, mucho menores que Rover, aunque no precisó dónde se instalará la nueva planta que la fabricará.
Postion	Tokenization
1	Además
2	,
3	confirmó
4	que
5	la
6	marca
7	de
8	lujo
9	Rolls
10	Royce
11	,
12	adherida
13	igualmente
14	a
15	BMW
16	,
17	permanecerá
18	en
19	el
20	Reino
21	Unido
22	,
23	por
24	su
25	añeja
26	tradición
27	británica
28	y
29	sus
30	dimensiones
31	,
32	mucho
33	menores
34	que
35	Rover
36	,
37	aunque
38	no
39	precisó
40	dónde
41	se
42	instalará
43	la
44	nueva
45	planta
46	que
47	la
48	fabricará
49	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	3	advmod
2	,	PUNCT	1	punct
3	confirmó	VERB	0	root
4	que	SCONJ	17	mark
5	la	DET	6	det
6	marca	NOUN	17	nsubj
7	de	ADP	8	case
8	lujo	NOUN	6	nmod
9	Rolls	PROPN	6	appos
10	Royce	PROPN	9	flat
11	,	PUNCT	12	punct
12	adherida	ADJ	6	amod
13	igualmente	ADV	12	advmod
14	a	ADP	15	case
15	BMW	PROPN	12	obl
16	,	PUNCT	12	punct
17	permanecerá	VERB	3	ccomp
18	en	ADP	20	case
19	el	DET	20	det
20	Reino	PROPN	17	obl
21	Unido	PROPN	20	flat
22	,	PUNCT	26	punct
23	por	ADP	26	case
24	su	DET	26	det
25	añeja	ADJ	26	amod
26	tradición	NOUN	17	obl
27	británica	ADJ	26	amod
28	y	CCONJ	30	cc
29	sus	DET	30	det
30	dimensiones	NOUN	26	conj
31	,	PUNCT	33	punct
32	mucho	ADV	33	advmod
33	menores	ADJ	30	amod
34	que	SCONJ	35	mark
35	Rover	PROPN	33	obl
36	,	PUNCT	33	punct
37	aunque	SCONJ	39	mark
38	no	ADV	39	advmod
39	precisó	VERB	17	advcl
40	dónde	PRON	42	obl
41	se	PRON	42	expl:pass
42	instalará	VERB	39	advcl
43	la	DET	45	det
44	nueva	ADJ	45	amod
45	planta	NOUN	42	nsubj
46	que	PRON	48	nsubj
47	la	PRON	48	obj
48	fabricará	VERB	45	acl
49	.	PUNCT	3	punct