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 una entrevista con el diario Financial Times, Carlos Ghosn advirtió de que la fortaleza de la libra esterlina amenaza las futuras inversiones de la compañía en el Reino Unido.
Postion	Tokenization
1	En
2	una
3	entrevista
4	con
5	el
6	diario
7	Financial
8	Times
9	,
10	Carlos
11	Ghosn
12	advirtió
13	de
14	que
15	la
16	fortaleza
17	de
18	la
19	libra
20	esterlina
21	amenaza
22	las
23	futuras
24	inversiones
25	de
26	la
27	compañía
28	en
29	el
30	Reino
31	Unido
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	una	DET	3	det
3	entrevista	NOUN	12	obl
4	con	ADP	6	case
5	el	DET	6	det
6	diario	NOUN	3	nmod
7	Financial	PROPN	6	appos
8	Times	PROPN	7	flat
9	,	PUNCT	3	punct
10	Carlos	PROPN	12	nsubj
11	Ghosn	PROPN	10	flat
12	advirtió	VERB	0	root
13	de	ADP	21	mark
14	que	SCONJ	21	mark
15	la	DET	16	det
16	fortaleza	NOUN	21	nsubj
17	de	ADP	19	case
18	la	DET	19	det
19	libra	NOUN	16	nmod
20	esterlina	ADJ	19	amod
21	amenaza	VERB	12	ccomp
22	las	DET	24	det
23	futuras	ADJ	24	amod
24	inversiones	NOUN	21	obj
25	de	ADP	27	case
26	la	DET	27	det
27	compañía	NOUN	24	nmod
28	en	ADP	30	case
29	el	DET	30	det
30	Reino	PROPN	24	nmod
31	Unido	PROPN	30	flat
32	.	PUNCT	12	punct