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:
Ahora será la viceministra Margarita Robles quien tome las riendas de la negociación y se convierta en la interlocutora de María Eugenia Cuenca.
Postion	Tokenization
1	Ahora
2	será
3	la
4	viceministra
5	Margarita
6	Robles
7	quien
8	tome
9	las
10	riendas
11	de
12	la
13	negociación
14	y
15	se
16	convierta
17	en
18	la
19	interlocutora
20	de
21	María
22	Eugenia
23	Cuenca
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Ahora	ADV	2	advmod
2	será	AUX	0	root
3	la	DET	4	det
4	viceministra	NOUN	2	nsubj
5	Margarita	PROPN	4	appos
6	Robles	PROPN	5	flat
7	quien	PRON	8	nsubj
8	tome	VERB	2	ccomp
9	las	DET	10	det
10	riendas	NOUN	8	obj
11	de	ADP	13	case
12	la	DET	13	det
13	negociación	NOUN	10	nmod
14	y	CCONJ	16	cc
15	se	PRON	16	expl:pv
16	convierta	VERB	8	conj
17	en	ADP	19	case
18	la	DET	19	det
19	interlocutora	NOUN	16	obj
20	de	ADP	21	case
21	María	PROPN	19	nmod
22	Eugenia	PROPN	21	flat
23	Cuenca	PROPN	21	flat
24	.	PUNCT	2	punct