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:
Asimismo, Clos ha invitado a Enric Bernat, propietario de Chupa Chups, a que presente un proyecto para invertir en el parque de atracciones Tibidabo.
Postion	Tokenization
1	Asimismo
2	,
3	Clos
4	ha
5	invitado
6	a
7	Enric
8	Bernat
9	,
10	propietario
11	de
12	Chupa
13	Chups
14	,
15	a
16	que
17	presente
18	un
19	proyecto
20	para
21	invertir
22	en
23	el
24	parque
25	de
26	atracciones
27	Tibidabo
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Asimismo	ADV	5	advmod
2	,	PUNCT	1	punct
3	Clos	PROPN	5	nsubj
4	ha	AUX	5	aux
5	invitado	VERB	0	root
6	a	ADP	7	case
7	Enric	PROPN	5	iobj
8	Bernat	PROPN	7	flat
9	,	PUNCT	10	punct
10	propietario	NOUN	7	appos
11	de	ADP	12	case
12	Chupa	PROPN	10	nmod
13	Chups	PROPN	12	flat
14	,	PUNCT	10	punct
15	a	ADP	17	mark
16	que	SCONJ	17	mark
17	presente	VERB	5	ccomp
18	un	DET	19	det
19	proyecto	NOUN	17	obj
20	para	ADP	21	mark
21	invertir	VERB	19	acl
22	en	ADP	24	case
23	el	DET	24	det
24	parque	NOUN	21	obj
25	de	ADP	26	case
26	atracciones	NOUN	24	nmod
27	Tibidabo	PROPN	24	appos
28	.	PUNCT	5	punct