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:
Por eso, consideró que el secretario general ha sido suficientemente apoyado, ya que, del censo a considerar, ha logrado más de la mitad de los apoyos.
Postion	Tokenization
1	Por
2	eso
3	,
4	consideró
5	que
6	el
7	secretario
8	general
9	ha
10	sido
11	suficientemente
12	apoyado
13	,
14	ya
15	que
16	,
17	del
18	censo
19	a
20	considerar
21	,
22	ha
23	logrado
24	más
25	de
26	la
27	mitad
28	de
29	los
30	apoyos
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	2	case
2	eso	PRON	4	obl
3	,	PUNCT	2	punct
4	consideró	VERB	0	root
5	que	SCONJ	12	mark
6	el	DET	7	det
7	secretario	NOUN	12	nsubj
8	general	ADJ	7	amod
9	ha	AUX	12	aux
10	sido	AUX	12	cop
11	suficientemente	ADV	12	advmod
12	apoyado	VERB	4	ccomp
13	,	PUNCT	23	punct
14	ya	ADV	23	mark
15	que	SCONJ	14	fixed
16	,	PUNCT	18	punct
17	del	ADP	18	case
18	censo	NOUN	23	obl
19	a	ADP	20	mark
20	considerar	VERB	18	acl
21	,	PUNCT	18	punct
22	ha	AUX	23	aux
23	logrado	VERB	4	advcl
24	más	ADV	27	advmod
25	de	ADP	27	case
26	la	DET	27	det
27	mitad	NOUN	30	nmod
28	de	ADP	27	case
29	los	DET	27	det
30	apoyos	NOUN	23	obj
31	.	PUNCT	4	punct