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:
Los estudios que han identificado los sonidos que emiten los elefantes para comunicarse han permitido constatar lo que la sabiduría popular ya sabía.
Postion	Tokenization
1	Los
2	estudios
3	que
4	han
5	identificado
6	los
7	sonidos
8	que
9	emiten
10	los
11	elefantes
12	para
13	comunicarse
14	comunicar
15	se
16	han
17	permitido
18	constatar
19	lo
20	que
21	la
22	sabiduría
23	popular
24	ya
25	sabía
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	estudios	NOUN	16	nsubj
3	que	PRON	5	nsubj
4	han	AUX	5	aux
5	identificado	VERB	2	acl
6	los	DET	7	det
7	sonidos	NOUN	5	obj
8	que	PRON	9	obj
9	emiten	VERB	7	acl
10	los	DET	11	det
11	elefantes	NOUN	9	nsubj
12	para	ADP	13	mark
13	comunicarse	_	None	_
14	comunicar	VERB	7	acl
15	se	PRON	13	obj
16	han	AUX	16	aux
17	permitido	VERB	0	root
18	constatar	VERB	16	xcomp
19	lo	PRON	24	det
20	que	PRON	24	obj
21	la	DET	21	det
22	sabiduría	NOUN	24	nsubj
23	popular	ADJ	21	amod
24	ya	ADV	24	advmod
25	sabía	VERB	17	ccomp
26	.	PUNCT	16	punct