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:
A la inauguración del SITC han asistido también el presidente de la Feria de Barcelona, Antoni Negre, el director general de Turismo de Cataluña, Xavier Civit, y el concejal de Turismo del Ayuntamiento de Barcelona, Jordi Portabella.
Postion	Tokenization
1	A
2	la
3	inauguración
4	del
5	SITC
6	han
7	asistido
8	también
9	el
10	presidente
11	de
12	la
13	Feria
14	de
15	Barcelona
16	,
17	Antoni
18	Negre
19	,
20	el
21	director
22	general
23	de
24	Turismo
25	de
26	Cataluña
27	,
28	Xavier
29	Civit
30	,
31	y
32	el
33	concejal
34	de
35	Turismo
36	del
37	Ayuntamiento
38	de
39	Barcelona
40	,
41	Jordi
42	Portabella
43	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	la	DET	3	det
3	inauguración	NOUN	7	obl
4	del	ADP	5	case
5	SITC	PROPN	3	nmod
6	han	AUX	7	aux
7	asistido	VERB	0	root
8	también	ADV	10	advmod
9	el	DET	10	det
10	presidente	NOUN	7	nsubj
11	de	ADP	13	case
12	la	DET	13	det
13	Feria	PROPN	10	nmod
14	de	ADP	15	case
15	Barcelona	PROPN	13	flat
16	,	PUNCT	17	punct
17	Antoni	PROPN	10	appos
18	Negre	PROPN	17	flat
19	,	PUNCT	21	punct
20	el	DET	21	det
21	director	NOUN	10	appos
22	general	ADJ	21	amod
23	de	ADP	24	case
24	Turismo	PROPN	21	nmod
25	de	ADP	26	case
26	Cataluña	PROPN	24	flat
27	,	PUNCT	28	punct
28	Xavier	PROPN	21	appos
29	Civit	PROPN	28	flat
30	,	PUNCT	28	punct
31	y	CCONJ	33	cc
32	el	DET	33	det
33	concejal	NOUN	10	conj
34	de	ADP	35	case
35	Turismo	PROPN	33	nmod
36	del	ADP	37	case
37	Ayuntamiento	PROPN	35	flat
38	de	ADP	39	case
39	Barcelona	PROPN	35	flat
40	,	PUNCT	41	punct
41	Jordi	PROPN	33	appos
42	Portabella	PROPN	41	flat
43	.	PUNCT	7	punct