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:
- - Piqué ha elaborado una de las cuatro ponencias del congreso, en el que convergen las diferentes sensibilidades del partido.
Postion	Tokenization
1	-
2	-
3	Piqué
4	ha
5	elaborado
6	una
7	de
8	las
9	cuatro
10	ponencias
11	del
12	congreso
13	,
14	en
15	el
16	que
17	convergen
18	las
19	diferentes
20	sensibilidades
21	del
22	partido
23	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	5	punct
2	-	PUNCT	5	punct
3	Piqué	PROPN	5	nsubj
4	ha	AUX	5	aux
5	elaborado	VERB	0	root
6	una	DET	5	det
7	de	ADP	6	case
8	las	DET	10	det
9	cuatro	NUM	8	nummod
10	ponencias	NOUN	6	obj
11	del	ADP	12	case
12	congreso	NOUN	10	nmod
13	,	PUNCT	17	punct
14	en	ADP	16	case
15	el	DET	16	det
16	que	PRON	17	obj
17	convergen	VERB	12	acl
18	las	DET	20	det
19	diferentes	DET	18	det
20	sensibilidades	NOUN	17	nsubj
21	del	ADP	22	case
22	partido	NOUN	20	nmod
23	.	PUNCT	5	punct