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:
Batlle aseguró que el poeta argentino por fin "ha podido encontrar a la persona, que cree con toda seguridad que es su nieta".
Postion	Tokenization
1	Batlle
2	aseguró
3	que
4	el
5	poeta
6	argentino
7	por
8	fin
9	"
10	ha
11	podido
12	encontrar
13	a
14	la
15	persona
16	,
17	que
18	cree
19	con
20	toda
21	seguridad
22	que
23	es
24	su
25	nieta
26	"
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Batlle	PROPN	2	nsubj
2	aseguró	VERB	0	root
3	que	SCONJ	12	mark
4	el	DET	5	det
5	poeta	NOUN	12	nsubj
6	argentino	ADJ	5	amod
7	por	ADP	12	advmod
8	fin	NOUN	7	fixed
9	"	PUNCT	12	punct
10	ha	AUX	12	aux
11	podido	AUX	12	aux
12	encontrar	VERB	2	xcomp
13	a	ADP	15	case
14	la	DET	15	det
15	persona	NOUN	12	obj
16	,	PUNCT	18	punct
17	que	PRON	18	nsubj
18	cree	VERB	15	acl
19	con	ADP	21	case
20	toda	DET	21	det
21	seguridad	NOUN	18	obl
22	que	SCONJ	25	mark
23	es	AUX	25	cop
24	su	DET	25	det
25	nieta	NOUN	18	ccomp
26	"	PUNCT	12	punct
27	.	PUNCT	2	punct