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:
Los dos jubilados están convencidos de que ahora "este es el mejor barrio de Barcelona", aunque recuerdan con nostalgia cómo ha cambiado su fisonomía en sólo tres años.
Postion	Tokenization
1	Los
2	dos
3	jubilados
4	están
5	convencidos
6	de
7	que
8	ahora
9	"
10	este
11	es
12	el
13	mejor
14	barrio
15	de
16	Barcelona
17	"
18	,
19	aunque
20	recuerdan
21	con
22	nostalgia
23	cómo
24	ha
25	cambiado
26	su
27	fisonomía
28	en
29	sólo
30	tres
31	años
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	dos	NUM	1	nummod
3	jubilados	NOUN	5	nsubj
4	están	AUX	5	cop
5	convencidos	ADJ	0	root
6	de	ADP	14	mark
7	que	SCONJ	14	mark
8	ahora	ADV	14	advmod
9	"	PUNCT	14	punct
10	este	PRON	14	nsubj
11	es	AUX	14	cop
12	el	DET	14	det
13	mejor	ADJ	14	amod
14	barrio	NOUN	5	ccomp
15	de	ADP	16	case
16	Barcelona	PROPN	14	nmod
17	"	PUNCT	14	punct
18	,	PUNCT	20	punct
19	aunque	SCONJ	20	mark
20	recuerdan	VERB	5	advcl
21	con	ADP	22	case
22	nostalgia	NOUN	20	obl
23	cómo	PRON	25	obl
24	ha	AUX	25	aux
25	cambiado	VERB	20	ccomp
26	su	DET	27	det
27	fisonomía	NOUN	25	nsubj
28	en	ADP	31	case
29	sólo	ADV	31	advmod
30	tres	NUM	31	nummod
31	años	NOUN	25	obl
32	.	PUNCT	5	punct