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 aún no enseña sus cartas, Alberto Fernández Díaz se prepara para renovar su cargo de presidente del PP catalán en el congreso que el partido celebrará tras el verano.
Postion	Tokenization
1	Aunque
2	aún
3	no
4	enseña
5	sus
6	cartas
7	,
8	Alberto
9	Fernández
10	Díaz
11	se
12	prepara
13	para
14	renovar
15	su
16	cargo
17	de
18	presidente
19	del
20	PP
21	catalán
22	en
23	el
24	congreso
25	que
26	el
27	partido
28	celebrará
29	tras
30	el
31	verano
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Aunque	SCONJ	4	mark
2	aún	ADV	4	advmod
3	no	ADV	4	advmod
4	enseña	VERB	12	advcl
5	sus	DET	6	det
6	cartas	NOUN	4	obj
7	,	PUNCT	4	punct
8	Alberto	PROPN	12	nsubj
9	Fernández	PROPN	8	flat
10	Díaz	PROPN	8	flat
11	se	PRON	12	obj
12	prepara	VERB	0	root
13	para	ADP	14	mark
14	renovar	VERB	12	advcl
15	su	DET	16	det
16	cargo	NOUN	14	obj
17	de	ADP	18	case
18	presidente	NOUN	16	nmod
19	del	ADP	20	case
20	PP	PROPN	18	nmod
21	catalán	ADJ	20	amod
22	en	ADP	24	case
23	el	DET	24	det
24	congreso	NOUN	14	obl
25	que	PRON	28	obj
26	el	DET	27	det
27	partido	NOUN	28	nsubj
28	celebrará	VERB	24	acl
29	tras	ADP	31	case
30	el	DET	31	det
31	verano	NOUN	28	obl
32	.	PUNCT	12	punct