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:
Entre vítores, aplausos, gritos y oleadas de pancartas con el apellido Kennedy, Caroline Kennedy llegó al podium del centro Staples para devolver a las filas demócratas el recuerdo de su más adorado presidente.
Postion	Tokenization
1	Entre
2	vítores
3	,
4	aplausos
5	,
6	gritos
7	y
8	oleadas
9	de
10	pancartas
11	con
12	el
13	apellido
14	Kennedy
15	,
16	Caroline
17	Kennedy
18	llegó
19	al
20	podium
21	del
22	centro
23	Staples
24	para
25	devolver
26	a
27	las
28	filas
29	demócratas
30	el
31	recuerdo
32	de
33	su
34	más
35	adorado
36	presidente
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	2	case
2	vítores	NOUN	18	obl
3	,	PUNCT	4	punct
4	aplausos	NOUN	2	conj
5	,	PUNCT	6	punct
6	gritos	NOUN	2	conj
7	y	CCONJ	8	cc
8	oleadas	NOUN	2	conj
9	de	ADP	10	case
10	pancartas	NOUN	8	nmod
11	con	ADP	13	case
12	el	DET	13	det
13	apellido	NOUN	10	nmod
14	Kennedy	PROPN	13	appos
15	,	PUNCT	2	punct
16	Caroline	PROPN	18	nsubj
17	Kennedy	PROPN	16	flat
18	llegó	VERB	0	root
19	al	ADP	20	case
20	podium	NOUN	18	obl
21	del	ADP	22	case
22	centro	NOUN	20	nmod
23	Staples	PROPN	22	appos
24	para	ADP	25	mark
25	devolver	VERB	18	advcl
26	a	ADP	28	case
27	las	DET	28	det
28	filas	NOUN	25	obj
29	demócratas	ADJ	28	amod
30	el	DET	31	det
31	recuerdo	NOUN	25	obj
32	de	ADP	36	case
33	su	DET	36	det
34	más	ADV	35	advmod
35	adorado	ADJ	36	amod
36	presidente	NOUN	31	nmod
37	.	PUNCT	18	punct