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:
Fueron precisamente las correrías de estos dos - - el uno, Premio Cervantes; el otro, Premio Alfaguara - - lo que llenó su última semana.
Postion	Tokenization
1	Fueron
2	precisamente
3	las
4	correrías
5	de
6	estos
7	dos
8	-
9	-
10	el
11	uno
12	,
13	Premio
14	Cervantes
15	;
16	el
17	otro
18	,
19	Premio
20	Alfaguara
21	-
22	-
23	lo
24	que
25	llenó
26	su
27	última
28	semana
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Fueron	AUX	0	root
2	precisamente	ADV	1	advmod
3	las	DET	4	det
4	correrías	NOUN	1	nsubj
5	de	ADP	7	case
6	estos	PRON	7	nmod
7	dos	NUM	4	nummod
8	-	PUNCT	11	punct
9	-	PUNCT	11	punct
10	el	DET	11	det
11	uno	PRON	7	appos
12	,	PUNCT	13	punct
13	Premio	PROPN	11	appos
14	Cervantes	PROPN	13	flat
15	;	PUNCT	11	punct
16	el	DET	17	det
17	otro	PRON	11	appos
18	,	PUNCT	19	punct
19	Premio	PROPN	17	appos
20	Alfaguara	PROPN	19	flat
21	-	PUNCT	11	punct
22	-	PUNCT	11	punct
23	lo	PRON	25	det
24	que	PRON	25	nsubj
25	llenó	VERB	1	ccomp
26	su	DET	28	det
27	última	ADJ	28	amod
28	semana	NOUN	25	obj
29	.	PUNCT	1	punct