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:
El presidente de la Generalitat, Jordi Pujol, se sumó ayer veladamente a las críticas en su aparición, desde la Casa dels Canonges, en el programa El Día Después de Canal +.
Postion	Tokenization
1	El
2	presidente
3	de
4	la
5	Generalitat
6	,
7	Jordi
8	Pujol
9	,
10	se
11	sumó
12	ayer
13	veladamente
14	a
15	las
16	críticas
17	en
18	su
19	aparición
20	,
21	desde
22	la
23	Casa
24	dels
25	Canonges
26	,
27	en
28	el
29	programa
30	El
31	Día
32	Después
33	de
34	Canal
35	+
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	11	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Generalitat	PROPN	2	nmod
6	,	PUNCT	7	punct
7	Jordi	PROPN	2	appos
8	Pujol	PROPN	7	flat
9	,	PUNCT	7	punct
10	se	PRON	11	expl:pv
11	sumó	VERB	0	root
12	ayer	ADV	11	advmod
13	veladamente	ADV	11	advmod
14	a	ADP	16	case
15	las	DET	16	det
16	críticas	NOUN	11	obj
17	en	ADP	19	case
18	su	DET	19	det
19	aparición	NOUN	11	obl
20	,	PUNCT	23	punct
21	desde	ADP	23	case
22	la	DET	23	det
23	Casa	PROPN	19	nmod
24	dels	ADP	25	case
25	Canonges	PROPN	23	flat
26	,	PUNCT	23	punct
27	en	ADP	29	case
28	el	DET	29	det
29	programa	NOUN	19	nmod
30	El	DET	31	det
31	Día	PROPN	29	appos
32	Después	ADV	31	flat
33	de	ADP	34	case
34	Canal	PROPN	29	nmod
35	+	PROPN	34	flat
36	.	PUNCT	11	punct