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:
Si ahora hay gente que te odia no es porque seas el número uno, sino porque has matado el romanticismo y porque formas ya parte de los nuevos ricos.
Postion	Tokenization
1	Si
2	ahora
3	hay
4	gente
5	que
6	te
7	odia
8	no
9	es
10	porque
11	seas
12	el
13	número
14	uno
15	,
16	sino
17	porque
18	has
19	matado
20	el
21	romanticismo
22	y
23	porque
24	formas
25	ya
26	parte
27	de
28	los
29	nuevos
30	ricos
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	3	mark
2	ahora	ADV	3	advmod
3	hay	AUX	9	csubj
4	gente	NOUN	3	obj
5	que	PRON	7	nsubj
6	te	PRON	7	obj
7	odia	VERB	4	acl
8	no	ADV	9	advmod
9	es	AUX	0	root
10	porque	SCONJ	13	mark
11	seas	AUX	13	cop
12	el	DET	13	det
13	número	NOUN	9	ccomp
14	uno	NOUN	13	nmod
15	,	PUNCT	19	punct
16	sino	CCONJ	19	cc
17	porque	SCONJ	19	mark
18	has	AUX	19	aux
19	matado	VERB	9	conj
20	el	DET	21	det
21	romanticismo	NOUN	19	obj
22	y	CCONJ	24	cc
23	porque	SCONJ	24	mark
24	formas	VERB	19	conj
25	ya	ADV	24	advmod
26	parte	NOUN	24	obj
27	de	ADP	30	case
28	los	DET	30	det
29	nuevos	ADJ	30	amod
30	ricos	NOUN	26	nmod
31	.	PUNCT	9	punct