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 el PP reclama a CiU compromiso y lealtad, ¿le pide incluso que confluya con el PP de Catalunya hasta convertirse en su representante? - -.
Postion	Tokenization
1	-
2	-
3	Cuando
4	el
5	PP
6	reclama
7	a
8	CiU
9	compromiso
10	y
11	lealtad
12	,
13	¿
14	le
15	pide
16	incluso
17	que
18	confluya
19	con
20	el
21	PP
22	de
23	Catalunya
24	hasta
25	convertirse
26	convertir
27	se
28	en
29	su
30	representante
31	?
32	-
33	-
34	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	15	punct
2	-	PUNCT	15	punct
3	Cuando	SCONJ	6	mark
4	el	DET	5	det
5	PP	PROPN	6	nsubj
6	reclama	VERB	15	advcl
7	a	ADP	8	case
8	CiU	PROPN	6	obj
9	compromiso	NOUN	6	obj
10	y	CCONJ	11	cc
11	lealtad	NOUN	9	conj
12	,	PUNCT	15	punct
13	¿	PUNCT	15	punct
14	le	PRON	15	iobj
15	pide	VERB	0	root
16	incluso	ADV	15	advmod
17	que	SCONJ	18	mark
18	confluya	VERB	15	ccomp
19	con	ADP	21	case
20	el	DET	21	det
21	PP	PROPN	18	obj
22	de	ADP	23	case
23	Catalunya	PROPN	21	nmod
24	hasta	ADP	25	mark
25	convertirse	_	None	_
26	convertir	VERB	18	advcl
27	se	PRON	25	expl:pv
28	en	ADP	29	case
29	su	DET	29	det
30	representante	NOUN	25	obj
31	?	PUNCT	15	punct
32	-	PUNCT	15	punct
33	-	PUNCT	15	punct
34	.	PUNCT	15	punct