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:
Con la entrada en Estados Unidos, en 1995, Fisas vio la necesidad de vender directamente al público y transformarse en una empresa de cosmética.
Postion	Tokenization
1	Con
2	la
3	entrada
4	en
5	Estados
6	Unidos
7	,
8	en
9	1995
10	,
11	Fisas
12	vio
13	la
14	necesidad
15	de
16	vender
17	directamente
18	al
19	público
20	y
21	transformarse
22	transformar
23	se
24	en
25	una
26	empresa
27	de
28	cosmética
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	la	DET	3	det
3	entrada	NOUN	12	obl
4	en	ADP	5	case
5	Estados	PROPN	3	nmod
6	Unidos	PROPN	5	flat
7	,	PUNCT	9	punct
8	en	ADP	9	case
9	1995	NOUN	3	nmod
10	,	PUNCT	9	punct
11	Fisas	PROPN	12	nsubj
12	vio	VERB	0	root
13	la	DET	14	det
14	necesidad	NOUN	12	obj
15	de	ADP	16	mark
16	vender	VERB	14	acl
17	directamente	ADV	16	advmod
18	al	ADP	19	case
19	público	NOUN	16	obj
20	y	CCONJ	21	cc
21	transformarse	_	None	_
22	transformar	VERB	16	conj
23	se	PRON	21	expl:pv
24	en	ADP	25	case
25	una	DET	25	det
26	empresa	NOUN	21	obj
27	de	ADP	27	case
28	cosmética	NOUN	25	nmod
29	.	PUNCT	12	punct