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:
El rotativo británico The Times y las agencias Associated Press y France Presse informaron de los sucesos, aunque no le dedicaron excesivo espacio y el tratamiento no fue sensacionalista.
Postion	Tokenization
1	El
2	rotativo
3	británico
4	The
5	Times
6	y
7	las
8	agencias
9	Associated
10	Press
11	y
12	France
13	Presse
14	informaron
15	de
16	los
17	sucesos
18	,
19	aunque
20	no
21	le
22	dedicaron
23	excesivo
24	espacio
25	y
26	el
27	tratamiento
28	no
29	fue
30	sensacionalista
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	rotativo	NOUN	14	nsubj
3	británico	ADJ	2	amod
4	The	PROPN	2	appos
5	Times	PROPN	4	flat
6	y	CCONJ	8	cc
7	las	DET	8	det
8	agencias	NOUN	2	conj
9	Associated	PROPN	8	appos
10	Press	PROPN	9	flat
11	y	CCONJ	12	cc
12	France	PROPN	9	conj
13	Presse	PROPN	12	flat
14	informaron	VERB	0	root
15	de	ADP	17	case
16	los	DET	17	det
17	sucesos	NOUN	14	obj
18	,	PUNCT	22	punct
19	aunque	SCONJ	22	mark
20	no	ADV	22	advmod
21	le	PRON	22	obj
22	dedicaron	VERB	14	advcl
23	excesivo	ADJ	24	amod
24	espacio	NOUN	22	obj
25	y	CCONJ	30	cc
26	el	DET	27	det
27	tratamiento	NOUN	30	nsubj
28	no	ADV	30	advmod
29	fue	AUX	30	cop
30	sensacionalista	ADJ	22	conj
31	.	PUNCT	14	punct