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:
"Cuba sí, yanquis no", fue el grito más coreado hoy por miles de campesinos, estudiantes y venezolanos que acompañaron en varios actos de masas a Castro y Chávez, vestidos con uniformes militares de campaña, en tres estados de Venezuela (Barinas, Portuguesa y Lara), en la jornada más populista de los cinco días de visitas.
Postion	Tokenization
1	"
2	Cuba
3	sí
4	,
5	yanquis
6	no
7	"
8	,
9	fue
10	el
11	grito
12	más
13	coreado
14	hoy
15	por
16	miles
17	de
18	campesinos
19	,
20	estudiantes
21	y
22	venezolanos
23	que
24	acompañaron
25	en
26	varios
27	actos
28	de
29	masas
30	a
31	Castro
32	y
33	Chávez
34	,
35	vestidos
36	con
37	uniformes
38	militares
39	de
40	campaña
41	,
42	en
43	tres
44	estados
45	de
46	Venezuela
47	(
48	Barinas
49	,
50	Portuguesa
51	y
52	Lara
53	)
54	,
55	en
56	la
57	jornada
58	más
59	populista
60	de
61	los
62	cinco
63	días
64	de
65	visitas
66	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Cuba	PROPN	11	nsubj
3	sí	PROPN	2	flat
4	,	PUNCT	2	punct
5	yanquis	PROPN	2	flat
6	no	PART	2	flat
7	"	PUNCT	2	punct
8	,	PUNCT	2	punct
9	fue	AUX	11	cop
10	el	DET	11	det
11	grito	NOUN	0	root
12	más	ADV	13	advmod
13	coreado	ADJ	11	amod
14	hoy	ADV	13	advmod
15	por	ADP	16	case
16	miles	NUM	13	obj
17	de	ADP	18	case
18	campesinos	NOUN	16	nmod
19	,	PUNCT	20	punct
20	estudiantes	NOUN	18	conj
21	y	CCONJ	22	cc
22	venezolanos	NOUN	18	conj
23	que	PRON	24	nsubj
24	acompañaron	VERB	18	acl
25	en	ADP	27	case
26	varios	DET	27	det
27	actos	NOUN	24	obl
28	de	ADP	29	case
29	masas	NOUN	27	nmod
30	a	ADP	31	case
31	Castro	PROPN	24	obj
32	y	CCONJ	33	cc
33	Chávez	PROPN	31	conj
34	,	PUNCT	35	punct
35	vestidos	ADJ	18	amod
36	con	ADP	37	case
37	uniformes	NOUN	35	obj
38	militares	ADJ	37	amod
39	de	ADP	40	case
40	campaña	NOUN	37	nmod
41	,	PUNCT	35	punct
42	en	ADP	44	case
43	tres	NUM	44	nummod
44	estados	NOUN	13	obl
45	de	ADP	46	case
46	Venezuela	PROPN	44	nmod
47	(	PUNCT	48	punct
48	Barinas	PROPN	44	appos
49	,	PUNCT	50	punct
50	Portuguesa	PROPN	48	conj
51	y	CCONJ	52	cc
52	Lara	PROPN	48	conj
53	)	PUNCT	48	punct
54	,	PUNCT	57	punct
55	en	ADP	57	case
56	la	DET	57	det
57	jornada	NOUN	13	obl
58	más	ADV	59	advmod
59	populista	ADJ	57	amod
60	de	ADP	63	case
61	los	DET	63	det
62	cinco	NUM	61	nummod
63	días	NOUN	57	nmod
64	de	ADP	65	case
65	visitas	NOUN	63	nmod
66	.	PUNCT	11	punct