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:
"Hay que tirar por tierra tópicos como el de 'me lo van a quitar de las manos' o 'me voy a hacer millonario', porque con los inventos se puede hacer dinero, pero no ser millonario".
Postion	Tokenization
1	"
2	Hay
3	que
4	tirar
5	por
6	tierra
7	tópicos
8	como
9	el
10	de
11	'
12	me
13	lo
14	van
15	a
16	quitar
17	de
18	las
19	manos
20	'
21	o
22	'
23	me
24	voy
25	a
26	hacer
27	millonario
28	'
29	,
30	porque
31	con
32	los
33	inventos
34	se
35	puede
36	hacer
37	dinero
38	,
39	pero
40	no
41	ser
42	millonario
43	"
44	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Hay	AUX	0	root
3	que	SCONJ	4	cc
4	tirar	VERB	2	conj
5	por	ADP	6	case
6	tierra	NOUN	4	obl
7	tópicos	NOUN	4	obj
8	como	SCONJ	9	mark
9	el	DET	7	det
10	de	ADP	9	case
11	'	SYM	12	nmod
12	me	PRON	9	nmod
13	lo	PRON	14	det
14	van	NOUN	12	compound
15	a	ADP	16	case
16	quitar	NOUN	12	compound
17	de	ADP	19	case
18	las	DET	19	det
19	manos	NOUN	12	compound
20	'	SYM	12	nmod
21	o	CCONJ	23	cc
22	'	SYM	23	nmod
23	me	PRON	12	conj
24	voy	NOUN	23	compound
25	a	ADP	26	case
26	hacer	NOUN	23	compound
27	millonario	NOUN	23	compound
28	'	SYM	23	nmod
29	,	PUNCT	36	punct
30	porque	SCONJ	36	mark
31	con	ADP	33	case
32	los	DET	33	det
33	inventos	NOUN	36	obl
34	se	PRON	36	expl:pass
35	puede	AUX	36	aux
36	hacer	VERB	4	advcl
37	dinero	NOUN	36	nsubj
38	,	PUNCT	42	punct
39	pero	CCONJ	42	cc
40	no	ADV	42	advmod
41	ser	AUX	42	cop
42	millonario	ADJ	36	conj
43	"	PUNCT	2	punct
44	.	PUNCT	2	punct