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 eso teníamos mucho en común", recordó Ros Marbà, recién llegado de México para participar en el acto organizado para "ese excelente melómano que fue Lluch".
Postion	Tokenization
1	"
2	En
3	eso
4	teníamos
5	mucho
6	en
7	común
8	"
9	,
10	recordó
11	Ros
12	Marbà
13	,
14	recién
15	llegado
16	de
17	México
18	para
19	participar
20	en
21	el
22	acto
23	organizado
24	para
25	"
26	ese
27	excelente
28	melómano
29	que
30	fue
31	Lluch
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	En	ADP	3	case
3	eso	PRON	4	obl
4	teníamos	VERB	10	ccomp
5	mucho	PRON	4	obj
6	en	ADP	4	obj
7	común	NOUN	6	fixed
8	"	PUNCT	4	punct
9	,	PUNCT	4	punct
10	recordó	VERB	0	root
11	Ros	PROPN	10	nsubj
12	Marbà	PROPN	11	flat
13	,	PUNCT	15	punct
14	recién	ADV	15	advmod
15	llegado	VERB	11	acl
16	de	ADP	17	case
17	México	PROPN	15	obl
18	para	ADP	19	mark
19	participar	VERB	15	advcl
20	en	ADP	22	case
21	el	DET	22	det
22	acto	NOUN	19	obj
23	organizado	ADJ	22	amod
24	para	ADP	28	case
25	"	PUNCT	28	punct
26	ese	DET	28	det
27	excelente	ADJ	28	amod
28	melómano	NOUN	23	obj
29	que	PRON	31	nsubj
30	fue	AUX	31	cop
31	Lluch	PROPN	28	acl
32	"	PUNCT	28	punct
33	.	PUNCT	10	punct