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:
La Fundació presentará el libro en la Casa del Marquet de La Roca, situada en Sant Llorenç Savall, que planea convertir en un museo literario y centro cultural.
Postion	Tokenization
1	La
2	Fundació
3	presentará
4	el
5	libro
6	en
7	la
8	Casa
9	del
10	Marquet
11	de
12	La
13	Roca
14	,
15	situada
16	en
17	Sant
18	Llorenç
19	Savall
20	,
21	que
22	planea
23	convertir
24	en
25	un
26	museo
27	literario
28	y
29	centro
30	cultural
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Fundació	PROPN	3	nsubj
3	presentará	VERB	0	root
4	el	DET	5	det
5	libro	NOUN	3	obj
6	en	ADP	8	case
7	la	DET	8	det
8	Casa	PROPN	3	obl
9	del	ADP	10	case
10	Marquet	PROPN	8	flat
11	de	ADP	13	case
12	La	DET	13	det
13	Roca	PROPN	8	flat
14	,	PUNCT	15	punct
15	situada	ADJ	8	amod
16	en	ADP	17	case
17	Sant	PROPN	15	obl
18	Llorenç	PROPN	17	flat
19	Savall	PROPN	17	flat
20	,	PUNCT	22	punct
21	que	PRON	22	iobj
22	planea	VERB	8	acl
23	convertir	VERB	22	xcomp
24	en	ADP	26	case
25	un	DET	26	det
26	museo	NOUN	23	obj
27	literario	ADJ	26	amod
28	y	CCONJ	29	cc
29	centro	NOUN	26	conj
30	cultural	ADJ	29	amod
31	.	PUNCT	3	punct