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:
Aunque inicialmente la financiación autonómica no figuraba en esta selección de cuestiones "clave" para Catalunya, el presidente del PSC la abordará con Pujol desde esta perspectiva.
Postion	Tokenization
1	Aunque
2	inicialmente
3	la
4	financiación
5	autonómica
6	no
7	figuraba
8	en
9	esta
10	selección
11	de
12	cuestiones
13	"
14	clave
15	"
16	para
17	Catalunya
18	,
19	el
20	presidente
21	del
22	PSC
23	la
24	abordará
25	con
26	Pujol
27	desde
28	esta
29	perspectiva
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Aunque	SCONJ	7	mark
2	inicialmente	ADV	7	advmod
3	la	DET	4	det
4	financiación	NOUN	7	nsubj
5	autonómica	ADJ	4	amod
6	no	ADV	7	advmod
7	figuraba	VERB	24	advcl
8	en	ADP	10	case
9	esta	DET	10	det
10	selección	NOUN	7	obl
11	de	ADP	12	case
12	cuestiones	NOUN	10	nmod
13	"	PUNCT	14	punct
14	clave	NOUN	12	nmod
15	"	PUNCT	14	punct
16	para	ADP	17	case
17	Catalunya	PROPN	12	nmod
18	,	PUNCT	7	punct
19	el	DET	20	det
20	presidente	NOUN	24	nsubj
21	del	ADP	22	case
22	PSC	PROPN	20	nmod
23	la	PRON	24	obj
24	abordará	VERB	0	root
25	con	ADP	26	case
26	Pujol	PROPN	24	obl
27	desde	ADP	29	case
28	esta	DET	29	det
29	perspectiva	NOUN	24	obl
30	.	PUNCT	24	punct