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:
Confió en que no se repitan en España "las dos velocidades" y dijo que la vuelta del PA al Parlamento español "será la novedad de la legislatura".
Postion	Tokenization
1	Confió
2	en
3	que
4	no
5	se
6	repitan
7	en
8	España
9	"
10	las
11	dos
12	velocidades
13	"
14	y
15	dijo
16	que
17	la
18	vuelta
19	del
20	PA
21	al
22	Parlamento
23	español
24	"
25	será
26	la
27	novedad
28	de
29	la
30	legislatura
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Confió	VERB	0	root
2	en	ADP	6	mark
3	que	SCONJ	6	mark
4	no	ADV	6	advmod
5	se	PRON	6	expl:pass
6	repitan	VERB	1	ccomp
7	en	ADP	8	case
8	España	PROPN	6	obl
9	"	PUNCT	12	punct
10	las	DET	12	det
11	dos	NUM	10	nummod
12	velocidades	NOUN	6	nsubj
13	"	PUNCT	12	punct
14	y	CCONJ	15	cc
15	dijo	VERB	1	conj
16	que	SCONJ	27	mark
17	la	DET	18	det
18	vuelta	NOUN	27	nsubj
19	del	ADP	20	case
20	PA	PROPN	18	nmod
21	al	ADP	22	case
22	Parlamento	PROPN	18	nmod
23	español	ADJ	22	amod
24	"	PUNCT	27	punct
25	será	AUX	27	cop
26	la	DET	27	det
27	novedad	NOUN	15	ccomp
28	de	ADP	30	case
29	la	DET	30	det
30	legislatura	NOUN	27	nmod
31	"	PUNCT	27	punct
32	.	PUNCT	1	punct