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 rueda de prensa en su sede, Milberg precisó que BMW venderá la marca Land Rover por unos 3.000 millones de euros al gigante norteamericano Ford y las divisiones de Rover y MG al grupo inversor británico Alchemy Partners.
Postion	Tokenization
1	En
2	rueda
3	de
4	prensa
5	en
6	su
7	sede
8	,
9	Milberg
10	precisó
11	que
12	BMW
13	venderá
14	la
15	marca
16	Land
17	Rover
18	por
19	unos
20	3.000
21	millones
22	de
23	euros
24	al
25	gigante
26	norteamericano
27	Ford
28	y
29	las
30	divisiones
31	de
32	Rover
33	y
34	MG
35	al
36	grupo
37	inversor
38	británico
39	Alchemy
40	Partners
41	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	rueda	NOUN	10	obl
3	de	ADP	4	case
4	prensa	NOUN	2	nmod
5	en	ADP	7	case
6	su	DET	7	det
7	sede	NOUN	2	nmod
8	,	PUNCT	2	punct
9	Milberg	PROPN	10	nsubj
10	precisó	VERB	0	root
11	que	SCONJ	13	mark
12	BMW	PROPN	13	nsubj
13	venderá	VERB	10	ccomp
14	la	DET	15	det
15	marca	NOUN	13	obj
16	Land	PROPN	15	appos
17	Rover	PROPN	16	flat
18	por	ADP	21	case
19	unos	PRON	20	nmod
20	3.000	NUM	21	nummod
21	millones	NOUN	13	obl
22	de	ADP	23	case
23	euros	NOUN	21	nmod
24	al	ADP	25	case
25	gigante	NOUN	13	obj
26	norteamericano	ADJ	25	amod
27	Ford	PROPN	25	appos
28	y	CCONJ	30	cc
29	las	DET	30	det
30	divisiones	NOUN	13	conj
31	de	ADP	32	case
32	Rover	PROPN	30	nmod
33	y	CCONJ	34	cc
34	MG	PROPN	32	conj
35	al	ADP	36	case
36	grupo	NOUN	30	nmod
37	inversor	ADJ	36	amod
38	británico	ADJ	36	amod
39	Alchemy	PROPN	36	appos
40	Partners	PROPN	39	flat
41	.	PUNCT	10	punct