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:
BMW ha puesto en marcha esta operación para desprenderse de Rover tras sufrir pérdidas del orden de los 3.150 millones de euros desde su adquisición en 1994.
Postion	Tokenization
1	BMW
2	ha
3	puesto
4	en
5	marcha
6	esta
7	operación
8	para
9	desprenderse
10	desprender
11	se
12	de
13	Rover
14	tras
15	sufrir
16	pérdidas
17	del
18	orden
19	de
20	los
21	3.150
22	millones
23	de
24	euros
25	desde
26	su
27	adquisición
28	en
29	1994
30	.
Position	Tokenization	UPOS	Head	Deprel
1	BMW	PROPN	3	nsubj
2	ha	AUX	3	aux
3	puesto	VERB	0	root
4	en	ADP	5	case
5	marcha	NOUN	3	compound
6	esta	DET	7	det
7	operación	NOUN	3	obj
8	para	ADP	9	mark
9	desprenderse	_	None	_
10	desprender	VERB	3	advcl
11	se	PRON	9	expl:pv
12	de	ADP	12	case
13	Rover	PROPN	9	obj
14	tras	ADP	14	mark
15	sufrir	VERB	9	advcl
16	pérdidas	NOUN	14	obj
17	del	ADP	21	case
18	orden	NOUN	16	fixed
19	de	ADP	16	fixed
20	los	DET	20	det
21	3.150	NUM	21	nummod
22	millones	NOUN	15	nmod
23	de	ADP	23	case
24	euros	NOUN	21	nmod
25	desde	ADP	26	case
26	su	DET	26	det
27	adquisición	NOUN	14	obl
28	en	ADP	28	case
29	1994	NOUN	26	nmod
30	.	PUNCT	3	punct