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:
Consideró que después de esta situación, es de todos conocido que "Segura ha realizado un gran trabajo de activista que lógicamente cualquier persona aprovecharía".
Postion	Tokenization
1	Consideró
2	que
3	después
4	de
5	esta
6	situación
7	,
8	es
9	de
10	todos
11	conocido
12	que
13	"
14	Segura
15	ha
16	realizado
17	un
18	gran
19	trabajo
20	de
21	activista
22	que
23	lógicamente
24	cualquier
25	persona
26	aprovecharía
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Consideró	VERB	0	root
2	que	SCONJ	11	mark
3	después	ADV	11	advmod
4	de	ADP	6	case
5	esta	DET	6	det
6	situación	NOUN	3	obl
7	,	PUNCT	3	punct
8	es	AUX	11	cop
9	de	ADP	10	case
10	todos	PRON	11	obj
11	conocido	VERB	1	ccomp
12	que	SCONJ	16	mark
13	"	PUNCT	16	punct
14	Segura	PROPN	16	nsubj
15	ha	AUX	16	aux
16	realizado	VERB	11	csubj
17	un	DET	19	det
18	gran	ADJ	19	amod
19	trabajo	NOUN	16	obj
20	de	ADP	21	case
21	activista	NOUN	19	nmod
22	que	PRON	26	obj
23	lógicamente	ADV	26	advmod
24	cualquier	DET	25	det
25	persona	NOUN	26	nsubj
26	aprovecharía	VERB	19	acl
27	"	PUNCT	16	punct
28	.	PUNCT	1	punct