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 encuentro de Maria del Mar Bonet con Amancio Prada bajo el manto del Festival Millenni. sirvió para que ambos artistas reafirmaran la línea argumental de sus últimos trabajos sin mayores novedades.
Postion	Tokenization
1	El
2	encuentro
3	de
4	Maria
5	del
6	Mar
7	Bonet
8	con
9	Amancio
10	Prada
11	bajo
12	el
13	manto
14	del
15	Festival
16	Millenni
17	.
18	sirvió
19	para
20	que
21	ambos
22	artistas
23	reafirmaran
24	la
25	línea
26	argumental
27	de
28	sus
29	últimos
30	trabajos
31	sin
32	mayores
33	novedades
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	encuentro	NOUN	18	nsubj
3	de	ADP	4	case
4	Maria	PROPN	2	nmod
5	del	ADP	6	case
6	Mar	PROPN	4	flat
7	Bonet	PROPN	6	flat
8	con	ADP	9	case
9	Amancio	PROPN	2	nmod
10	Prada	PROPN	9	flat
11	bajo	ADP	13	case
12	el	DET	13	det
13	manto	NOUN	2	nmod
14	del	ADP	15	case
15	Festival	PROPN	13	nmod
16	Millenni	PROPN	15	flat
17	.	PUNCT	13	punct
18	sirvió	VERB	0	root
19	para	ADP	23	mark
20	que	SCONJ	23	mark
21	ambos	NUM	22	nummod
22	artistas	NOUN	23	nsubj
23	reafirmaran	VERB	18	ccomp
24	la	DET	25	det
25	línea	NOUN	23	obj
26	argumental	ADJ	25	amod
27	de	ADP	30	case
28	sus	DET	30	det
29	últimos	ADJ	30	amod
30	trabajos	NOUN	25	nmod
31	sin	ADP	33	case
32	mayores	ADJ	33	amod
33	novedades	NOUN	23	obl
34	.	PUNCT	18	punct