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 este caso, los motivos que alega el Gobierno andaluz se basan en el riesgo que puede suponer para la población del Campo de Gibraltar la reparación del submarino nuclear Tireless, ya que éste ha sufrido una avería que además superaba los cálculos iniciales.
Postion	Tokenization
1	En
2	este
3	caso
4	,
5	los
6	motivos
7	que
8	alega
9	el
10	Gobierno
11	andaluz
12	se
13	basan
14	en
15	el
16	riesgo
17	que
18	puede
19	suponer
20	para
21	la
22	población
23	del
24	Campo
25	de
26	Gibraltar
27	la
28	reparación
29	del
30	submarino
31	nuclear
32	Tireless
33	,
34	ya
35	que
36	éste
37	ha
38	sufrido
39	una
40	avería
41	que
42	además
43	superaba
44	los
45	cálculos
46	iniciales
47	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	este	DET	3	det
3	caso	NOUN	13	obl
4	,	PUNCT	3	punct
5	los	DET	6	det
6	motivos	NOUN	13	nsubj
7	que	PRON	8	obj
8	alega	VERB	6	acl
9	el	DET	10	det
10	Gobierno	PROPN	8	nsubj
11	andaluz	ADJ	10	amod
12	se	PRON	13	expl:pass
13	basan	VERB	0	root
14	en	ADP	16	case
15	el	DET	16	det
16	riesgo	NOUN	13	obj
17	que	PRON	19	obj
18	puede	AUX	19	aux
19	suponer	VERB	16	acl
20	para	ADP	22	case
21	la	DET	22	det
22	población	NOUN	19	obj
23	del	ADP	24	case
24	Campo	PROPN	22	nmod
25	de	ADP	26	case
26	Gibraltar	PROPN	24	flat
27	la	DET	28	det
28	reparación	NOUN	19	nsubj
29	del	ADP	30	case
30	submarino	NOUN	28	nmod
31	nuclear	ADJ	30	amod
32	Tireless	PROPN	30	appos
33	,	PUNCT	38	punct
34	ya	ADV	38	mark
35	que	SCONJ	34	fixed
36	éste	PRON	38	nsubj
37	ha	AUX	38	aux
38	sufrido	VERB	13	advcl
39	una	DET	40	det
40	avería	NOUN	38	obj
41	que	PRON	43	nsubj
42	además	ADV	43	advmod
43	superaba	VERB	40	acl
44	los	DET	45	det
45	cálculos	NOUN	43	obj
46	iniciales	ADJ	45	amod
47	.	PUNCT	13	punct