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 alcaldes de Josa i Tuxén y Gòsol, Josep Pallerola (CiU) y Josep Tomàs (PSC) respectivamente, coincidieron en recordar que "es una promesa que hizo ya el conseller Josep Maria Cullell en 1984".
Postion	Tokenization
1	Los
2	alcaldes
3	de
4	Josa
5	i
6	Tuxén
7	y
8	Gòsol
9	,
10	Josep
11	Pallerola
12	(
13	CiU
14	)
15	y
16	Josep
17	Tomàs
18	(
19	PSC
20	)
21	respectivamente
22	,
23	coincidieron
24	en
25	recordar
26	que
27	"
28	es
29	una
30	promesa
31	que
32	hizo
33	ya
34	el
35	conseller
36	Josep
37	Maria
38	Cullell
39	en
40	1984
41	"
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	alcaldes	NOUN	23	nsubj
3	de	ADP	4	case
4	Josa	PROPN	2	nmod
5	i	CCONJ	6	cc
6	Tuxén	PROPN	4	conj
7	y	CCONJ	8	cc
8	Gòsol	PROPN	4	conj
9	,	PUNCT	10	punct
10	Josep	PROPN	2	appos
11	Pallerola	PROPN	10	flat
12	(	PUNCT	13	punct
13	CiU	PROPN	10	flat
14	)	PUNCT	13	punct
15	y	CCONJ	16	cc
16	Josep	PROPN	10	conj
17	Tomàs	PROPN	16	flat
18	(	PUNCT	19	punct
19	PSC	PROPN	16	flat
20	)	PUNCT	19	punct
21	respectivamente	ADV	10	advmod
22	,	PUNCT	10	punct
23	coincidieron	VERB	0	root
24	en	ADP	25	mark
25	recordar	VERB	23	ccomp
26	que	SCONJ	30	mark
27	"	PUNCT	30	punct
28	es	AUX	30	cop
29	una	DET	30	det
30	promesa	NOUN	25	ccomp
31	que	PRON	32	obj
32	hizo	VERB	30	acl
33	ya	ADV	32	advmod
34	el	DET	35	det
35	conseller	NOUN	32	nsubj
36	Josep	PROPN	35	appos
37	Maria	PROPN	36	flat
38	Cullell	PROPN	36	flat
39	en	ADP	40	case
40	1984	NOUN	32	obl
41	"	PUNCT	30	punct
42	.	PUNCT	23	punct