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:
Marruecos ha vuelto a poner sobre la mesa su vieja reclamación de discutir con España la soberanía de Ceuta y Melilla.
Postion	Tokenization
1	Marruecos
2	ha
3	vuelto
4	a
5	poner
6	sobre
7	la
8	mesa
9	su
10	vieja
11	reclamación
12	de
13	discutir
14	con
15	España
16	la
17	soberanía
18	de
19	Ceuta
20	y
21	Melilla
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Marruecos	PROPN	3	nsubj
2	ha	AUX	3	aux
3	vuelto	VERB	0	root
4	a	ADP	5	mark
5	poner	VERB	3	xcomp
6	sobre	ADP	8	case
7	la	DET	8	det
8	mesa	NOUN	3	obl
9	su	DET	11	det
10	vieja	ADJ	11	amod
11	reclamación	NOUN	3	obj
12	de	ADP	13	mark
13	discutir	VERB	11	acl
14	con	ADP	15	case
15	España	PROPN	13	obl
16	la	DET	17	det
17	soberanía	NOUN	13	obj
18	de	ADP	19	case
19	Ceuta	PROPN	17	nmod
20	y	CCONJ	21	cc
21	Melilla	PROPN	19	conj
22	.	PUNCT	3	punct