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:
Cuando los Stones eran conocidos sólo en Gran Bretaña vine mucho a España, porque me encanta, a pesar del calor.
Postion	Tokenization
1	Cuando
2	los
3	Stones
4	eran
5	conocidos
6	sólo
7	en
8	Gran
9	Bretaña
10	vine
11	mucho
12	a
13	España
14	,
15	porque
16	me
17	encanta
18	,
19	a
20	pesar
21	del
22	calor
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuando	SCONJ	5	mark
2	los	DET	3	det
3	Stones	PROPN	5	nsubj
4	eran	AUX	5	cop
5	conocidos	ADJ	10	advcl
6	sólo	ADV	5	advmod
7	en	ADP	6	case
8	Gran	ADJ	6	nmod
9	Bretaña	PROPN	8	flat
10	vine	VERB	0	root
11	mucho	ADV	10	advmod
12	a	ADP	13	case
13	España	PROPN	10	obl
14	,	PUNCT	17	punct
15	porque	SCONJ	17	mark
16	me	PRON	17	iobj
17	encanta	VERB	10	advcl
18	,	PUNCT	22	punct
19	a	ADP	22	case
20	pesar	NOUN	19	fixed
21	del	ADP	19	fixed
22	calor	NOUN	17	obl
23	.	PUNCT	10	punct