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:
En Multimedia el galardonado fue Vicente Guallart, de Media House, por un proyecto sobre el papel de las tecnologías multimedia en la vida cotidiana.
Postion	Tokenization
1	En
2	Multimedia
3	el
4	galardonado
5	fue
6	Vicente
7	Guallart
8	,
9	de
10	Media
11	House
12	,
13	por
14	un
15	proyecto
16	sobre
17	el
18	papel
19	de
20	las
21	tecnologías
22	multimedia
23	en
24	la
25	vida
26	cotidiana
27	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Multimedia	PROPN	6	obl
3	el	DET	4	det
4	galardonado	NOUN	6	nsubj
5	fue	AUX	6	cop
6	Vicente	PROPN	0	root
7	Guallart	PROPN	6	flat
8	,	PUNCT	10	punct
9	de	ADP	10	case
10	Media	PROPN	6	nmod
11	House	PROPN	10	flat
12	,	PUNCT	10	punct
13	por	ADP	15	case
14	un	DET	15	det
15	proyecto	NOUN	6	obl
16	sobre	ADP	18	case
17	el	DET	18	det
18	papel	NOUN	15	nmod
19	de	ADP	21	case
20	las	DET	21	det
21	tecnologías	NOUN	18	nmod
22	multimedia	NOUN	21	nmod
23	en	ADP	25	case
24	la	DET	25	det
25	vida	NOUN	18	nmod
26	cotidiana	ADJ	25	amod
27	.	PUNCT	6	punct