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 consejo de Telefónica y las amenazas con cierres parciales de las gasolineras son las principales noticias con las que abren hoy los diarios económicos.
Postion	Tokenization
1	El
2	consejo
3	de
4	Telefónica
5	y
6	las
7	amenazas
8	con
9	cierres
10	parciales
11	de
12	las
13	gasolineras
14	son
15	las
16	principales
17	noticias
18	con
19	las
20	que
21	abren
22	hoy
23	los
24	diarios
25	económicos
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	consejo	NOUN	17	nsubj
3	de	ADP	4	case
4	Telefónica	PROPN	2	nmod
5	y	CCONJ	7	cc
6	las	DET	7	det
7	amenazas	NOUN	2	conj
8	con	ADP	9	case
9	cierres	NOUN	7	nmod
10	parciales	ADJ	9	amod
11	de	ADP	13	case
12	las	DET	13	det
13	gasolineras	NOUN	9	nmod
14	son	AUX	17	cop
15	las	DET	17	det
16	principales	ADJ	17	amod
17	noticias	NOUN	0	root
18	con	ADP	20	case
19	las	DET	20	det
20	que	PRON	21	obl
21	abren	VERB	17	acl
22	hoy	ADV	21	advmod
23	los	DET	24	det
24	diarios	NOUN	21	nsubj
25	económicos	ADJ	24	amod
26	.	PUNCT	17	punct