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:
Juan se tomó muy en serio lo que le decía su padre, "tu país es el mundo", y durante seis años vio "lo mejor y lo peor del ser humano" en Haití, Yugoslavia o la Guerra del Golfo.
Postion	Tokenization
1	Juan
2	se
3	tomó
4	muy
5	en
6	serio
7	lo
8	que
9	le
10	decía
11	su
12	padre
13	,
14	"
15	tu
16	país
17	es
18	el
19	mundo
20	"
21	,
22	y
23	durante
24	seis
25	años
26	vio
27	"
28	lo
29	mejor
30	y
31	lo
32	peor
33	del
34	ser
35	humano
36	"
37	en
38	Haití
39	,
40	Yugoslavia
41	o
42	la
43	Guerra
44	del
45	Golfo
46	.
Position	Tokenization	UPOS	Head	Deprel
1	Juan	PROPN	3	nsubj
2	se	PRON	3	iobj
3	tomó	VERB	0	root
4	muy	ADV	5	advmod
5	en	ADP	3	advmod
6	serio	NOUN	5	fixed
7	lo	PRON	10	det
8	que	PRON	10	obj
9	le	PRON	10	obj
10	decía	VERB	3	ccomp
11	su	DET	12	det
12	padre	NOUN	10	nsubj
13	,	PUNCT	19	punct
14	"	PUNCT	19	punct
15	tu	DET	16	det
16	país	NOUN	19	nsubj
17	es	AUX	19	cop
18	el	DET	19	det
19	mundo	NOUN	10	advcl
20	"	PUNCT	19	punct
21	,	PUNCT	26	punct
22	y	CCONJ	26	cc
23	durante	ADP	25	case
24	seis	NUM	25	nummod
25	años	NOUN	26	obl
26	vio	VERB	3	conj
27	"	PUNCT	29	punct
28	lo	PRON	29	det
29	mejor	ADJ	26	obj
30	y	CCONJ	32	cc
31	lo	PRON	32	det
32	peor	ADJ	29	conj
33	del	ADP	34	case
34	ser	NOUN	29	nmod
35	humano	ADJ	34	amod
36	"	PUNCT	29	punct
37	en	ADP	38	case
38	Haití	PROPN	26	obl
39	,	PUNCT	40	punct
40	Yugoslavia	PROPN	38	flat
41	o	CCONJ	43	cc
42	la	DET	43	det
43	Guerra	PROPN	38	conj
44	del	ADP	45	case
45	Golfo	PROPN	43	flat
46	.	PUNCT	3	punct