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:
Messari, que ayer participó en Tetuán en un encuentro organizado por la UGT sobre las relaciones entre Andalucía y el norte de Marruecos, propuso la organización de reuniones entre autoridades españolas y marroquís para analizar los intereses comunes en la zona.
Postion	Tokenization
1	Messari
2	,
3	que
4	ayer
5	participó
6	en
7	Tetuán
8	en
9	un
10	encuentro
11	organizado
12	por
13	la
14	UGT
15	sobre
16	las
17	relaciones
18	entre
19	Andalucía
20	y
21	el
22	norte
23	de
24	Marruecos
25	,
26	propuso
27	la
28	organización
29	de
30	reuniones
31	entre
32	autoridades
33	españolas
34	y
35	marroquís
36	para
37	analizar
38	los
39	intereses
40	comunes
41	en
42	la
43	zona
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Messari	PROPN	26	nsubj
2	,	PUNCT	5	punct
3	que	PRON	5	nsubj
4	ayer	ADV	5	advmod
5	participó	VERB	1	acl
6	en	ADP	7	case
7	Tetuán	PROPN	5	obl
8	en	ADP	10	case
9	un	DET	10	det
10	encuentro	NOUN	5	obj
11	organizado	ADJ	10	amod
12	por	ADP	14	case
13	la	DET	14	det
14	UGT	PROPN	11	obj
15	sobre	ADP	17	case
16	las	DET	17	det
17	relaciones	NOUN	10	nmod
18	entre	ADP	19	case
19	Andalucía	PROPN	17	nmod
20	y	CCONJ	22	cc
21	el	DET	22	det
22	norte	NOUN	19	conj
23	de	ADP	24	case
24	Marruecos	PROPN	22	nmod
25	,	PUNCT	5	punct
26	propuso	VERB	0	root
27	la	DET	28	det
28	organización	NOUN	26	obj
29	de	ADP	30	case
30	reuniones	NOUN	28	nmod
31	entre	ADP	32	case
32	autoridades	NOUN	30	nmod
33	españolas	ADJ	32	amod
34	y	CCONJ	35	cc
35	marroquís	ADJ	33	conj
36	para	ADP	37	mark
37	analizar	VERB	30	acl
38	los	DET	39	det
39	intereses	NOUN	37	obj
40	comunes	ADJ	39	amod
41	en	ADP	43	case
42	la	DET	43	det
43	zona	NOUN	37	obl
44	.	PUNCT	26	punct