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:
Diversos sectores del partido consultados por EFE manifestaron haber recibido bien el anuncio de Pere Esteve, aunque por razones distintas.
Postion	Tokenization
1	Diversos
2	sectores
3	del
4	partido
5	consultados
6	por
7	EFE
8	manifestaron
9	haber
10	recibido
11	bien
12	el
13	anuncio
14	de
15	Pere
16	Esteve
17	,
18	aunque
19	por
20	razones
21	distintas
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Diversos	DET	2	det
2	sectores	NOUN	8	nsubj
3	del	ADP	4	case
4	partido	NOUN	2	nmod
5	consultados	ADJ	2	amod
6	por	ADP	7	case
7	EFE	PROPN	5	obj
8	manifestaron	VERB	0	root
9	haber	AUX	10	aux
10	recibido	VERB	8	xcomp
11	bien	ADV	10	advmod
12	el	DET	13	det
13	anuncio	NOUN	10	obj
14	de	ADP	15	case
15	Pere	PROPN	13	nmod
16	Esteve	PROPN	15	flat
17	,	PUNCT	20	punct
18	aunque	SCONJ	20	mark
19	por	ADP	20	case
20	razones	NOUN	8	obj
21	distintas	ADJ	20	amod
22	.	PUNCT	8	punct