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:
Milberg aseguró que "BMW no está en venta" al responder a las preguntas sobre una posible adquisición por otros grupos automovilísticos, como indicaban los rumores en el sector.
Postion	Tokenization
1	Milberg
2	aseguró
3	que
4	"
5	BMW
6	no
7	está
8	en
9	venta
10	"
11	al
12	responder
13	a
14	las
15	preguntas
16	sobre
17	una
18	posible
19	adquisición
20	por
21	otros
22	grupos
23	automovilísticos
24	,
25	como
26	indicaban
27	los
28	rumores
29	en
30	el
31	sector
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Milberg	PROPN	2	nsubj
2	aseguró	VERB	0	root
3	que	SCONJ	9	mark
4	"	PUNCT	9	punct
5	BMW	PROPN	9	nsubj
6	no	ADV	9	advmod
7	está	AUX	9	cop
8	en	ADP	9	case
9	venta	NOUN	2	ccomp
10	"	PUNCT	9	punct
11	al	ADP	12	mark
12	responder	VERB	2	advcl
13	a	ADP	15	case
14	las	DET	15	det
15	preguntas	NOUN	12	obj
16	sobre	ADP	19	case
17	una	DET	19	det
18	posible	ADJ	19	amod
19	adquisición	NOUN	15	nmod
20	por	ADP	22	case
21	otros	DET	22	det
22	grupos	NOUN	19	nmod
23	automovilísticos	ADJ	22	amod
24	,	PUNCT	26	punct
25	como	SCONJ	26	mark
26	indicaban	VERB	19	acl
27	los	DET	28	det
28	rumores	NOUN	26	nsubj
29	en	ADP	31	case
30	el	DET	31	det
31	sector	NOUN	28	nmod
32	.	PUNCT	2	punct