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:
Recordó que sólo en 1999 la alta cotización de la libra generó pérdidas adicionales de unos 350 millones de euros a Rover en una industria dirigida hacia la exportación.
Postion	Tokenization
1	Recordó
2	que
3	sólo
4	en
5	1999
6	la
7	alta
8	cotización
9	de
10	la
11	libra
12	generó
13	pérdidas
14	adicionales
15	de
16	unos
17	350
18	millones
19	de
20	euros
21	a
22	Rover
23	en
24	una
25	industria
26	dirigida
27	hacia
28	la
29	exportación
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Recordó	VERB	0	root
2	que	SCONJ	12	mark
3	sólo	ADV	12	advmod
4	en	ADP	3	case
5	1999	NOUN	3	nmod
6	la	DET	8	det
7	alta	ADJ	8	amod
8	cotización	NOUN	12	nsubj
9	de	ADP	11	case
10	la	DET	11	det
11	libra	NOUN	8	nmod
12	generó	VERB	1	ccomp
13	pérdidas	NOUN	12	obj
14	adicionales	ADJ	13	amod
15	de	ADP	18	case
16	unos	PRON	17	nmod
17	350	NUM	18	nummod
18	millones	NOUN	13	nmod
19	de	ADP	20	case
20	euros	NOUN	18	nmod
21	a	ADP	22	case
22	Rover	PROPN	12	obj
23	en	ADP	25	case
24	una	DET	25	det
25	industria	NOUN	12	obl
26	dirigida	ADJ	25	amod
27	hacia	ADP	29	case
28	la	DET	29	det
29	exportación	NOUN	26	obl
30	.	PUNCT	1	punct