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:
Vestidos con trajes estériles, el Rey y Josep Piqué recorrieron la zona en donde se fabrican la vacunas contra la hepatitis de esta empresa, que tiene también laboratorios en Estados Unidos, Alemania, Francia y España.
Postion	Tokenization
1	Vestidos
2	con
3	trajes
4	estériles
5	,
6	el
7	Rey
8	y
9	Josep
10	Piqué
11	recorrieron
12	la
13	zona
14	en
15	donde
16	se
17	fabrican
18	la
19	vacunas
20	contra
21	la
22	hepatitis
23	de
24	esta
25	empresa
26	,
27	que
28	tiene
29	también
30	laboratorios
31	en
32	Estados
33	Unidos
34	,
35	Alemania
36	,
37	Francia
38	y
39	España
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Vestidos	ADJ	7	amod
2	con	ADP	3	case
3	trajes	NOUN	1	obj
4	estériles	ADJ	3	amod
5	,	PUNCT	1	punct
6	el	DET	7	det
7	Rey	PROPN	11	nsubj
8	y	CCONJ	9	cc
9	Josep	PROPN	7	conj
10	Piqué	PROPN	9	flat
11	recorrieron	VERB	0	root
12	la	DET	13	det
13	zona	NOUN	11	obj
14	en	ADP	15	case
15	donde	PRON	17	obl
16	se	PRON	17	expl:pass
17	fabrican	VERB	13	acl
18	la	DET	19	det
19	vacunas	NOUN	17	nsubj
20	contra	ADP	22	case
21	la	DET	22	det
22	hepatitis	NOUN	19	nmod
23	de	ADP	25	case
24	esta	DET	25	det
25	empresa	NOUN	19	nmod
26	,	PUNCT	28	punct
27	que	PRON	28	nsubj
28	tiene	VERB	25	acl
29	también	ADV	28	advmod
30	laboratorios	NOUN	28	obj
31	en	ADP	32	case
32	Estados	PROPN	28	obl
33	Unidos	PROPN	32	flat
34	,	PUNCT	35	punct
35	Alemania	PROPN	32	conj
36	,	PUNCT	37	punct
37	Francia	PROPN	32	conj
38	y	CCONJ	39	cc
39	España	PROPN	32	conj
40	.	PUNCT	11	punct