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:
"Acabará entendiendo que Marruecos tiene razón en sus reivindicaciones sobre ambos territorios, como ya ocurrió con el Sahara", aventuró.
Postion	Tokenization
1	"
2	Acabará
3	entendiendo
4	que
5	Marruecos
6	tiene
7	razón
8	en
9	sus
10	reivindicaciones
11	sobre
12	ambos
13	territorios
14	,
15	como
16	ya
17	ocurrió
18	con
19	el
20	Sahara
21	"
22	,
23	aventuró
24	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Acabará	VERB	23	ccomp
3	entendiendo	VERB	2	xcomp
4	que	SCONJ	6	mark
5	Marruecos	PROPN	6	nsubj
6	tiene	VERB	3	ccomp
7	razón	NOUN	6	obj
8	en	ADP	10	case
9	sus	DET	10	det
10	reivindicaciones	NOUN	6	obl
11	sobre	ADP	13	case
12	ambos	NUM	13	nummod
13	territorios	NOUN	10	nmod
14	,	PUNCT	17	punct
15	como	SCONJ	17	mark
16	ya	ADV	17	advmod
17	ocurrió	VERB	3	advcl
18	con	ADP	20	case
19	el	DET	20	det
20	Sahara	PROPN	17	obl
21	"	PUNCT	2	punct
22	,	PUNCT	2	punct
23	aventuró	VERB	0	root
24	.	PUNCT	23	punct