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:
Yo voy a comer allí una vez cada año, para recordar, con otros amigos, a Alex Ferrer Isbert, que trabajaba para la Fundació y murió tan joven.
Postion	Tokenization
1	Yo
2	voy
3	a
4	comer
5	allí
6	una
7	vez
8	cada
9	año
10	,
11	para
12	recordar
13	,
14	con
15	otros
16	amigos
17	,
18	a
19	Alex
20	Ferrer
21	Isbert
22	,
23	que
24	trabajaba
25	para
26	la
27	Fundació
28	y
29	murió
30	tan
31	joven
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Yo	PRON	4	nsubj
2	voy	AUX	4	aux
3	a	ADP	4	mark
4	comer	VERB	0	root
5	allí	ADV	4	advmod
6	una	DET	7	det
7	vez	NOUN	4	obl
8	cada	DET	9	det
9	año	NOUN	7	appos
10	,	PUNCT	12	punct
11	para	ADP	12	mark
12	recordar	VERB	4	advcl
13	,	PUNCT	16	punct
14	con	ADP	16	case
15	otros	DET	16	det
16	amigos	NOUN	12	obl
17	,	PUNCT	16	punct
18	a	ADP	19	case
19	Alex	PROPN	12	obj
20	Ferrer	PROPN	19	flat
21	Isbert	PROPN	19	flat
22	,	PUNCT	24	punct
23	que	PRON	24	nsubj
24	trabajaba	VERB	19	acl
25	para	ADP	27	case
26	la	DET	27	det
27	Fundació	PROPN	24	obl
28	y	CCONJ	29	cc
29	murió	VERB	24	conj
30	tan	ADV	31	advmod
31	joven	ADJ	29	advmod
32	.	PUNCT	4	punct