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:
De Niro desplegó ante los periodistas y el público una elocuencia de astado furioso, o a lo sumo de boxeador bravo, como ese Jake LaMotta al que prestó el rostro airado.
Postion	Tokenization
1	De
2	Niro
3	desplegó
4	ante
5	los
6	periodistas
7	y
8	el
9	público
10	una
11	elocuencia
12	de
13	astado
14	furioso
15	,
16	o
17	a
18	lo
19	sumo
20	de
21	boxeador
22	bravo
23	,
24	como
25	ese
26	Jake
27	LaMotta
28	al
29	que
30	prestó
31	el
32	rostro
33	airado
34	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	2	case
2	Niro	PROPN	3	nsubj
3	desplegó	VERB	0	root
4	ante	ADP	6	case
5	los	DET	6	det
6	periodistas	NOUN	3	obl
7	y	CCONJ	9	cc
8	el	DET	9	det
9	público	NOUN	6	conj
10	una	DET	11	det
11	elocuencia	NOUN	3	obj
12	de	ADP	13	case
13	astado	NOUN	11	nmod
14	furioso	ADJ	13	amod
15	,	PUNCT	17	punct
16	o	CCONJ	17	cc
17	a	ADP	13	conj
18	lo	PRON	17	fixed
19	sumo	NOUN	17	fixed
20	de	ADP	17	case
21	boxeador	NOUN	17	nmod
22	bravo	ADJ	21	amod
23	,	PUNCT	26	punct
24	como	SCONJ	26	mark
25	ese	DET	26	det
26	Jake	PROPN	21	nmod
27	LaMotta	PROPN	26	flat
28	al	ADP	29	case
29	que	PRON	30	obj
30	prestó	VERB	26	acl
31	el	DET	32	det
32	rostro	NOUN	30	obj
33	airado	ADJ	32	amod
34	.	PUNCT	3	punct