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:
Machinea destacó que en el proyecto del Presupuesto Nacional 2001 "hay una reducción del impuesto a los intereses de los créditos que ellos piden".
Postion	Tokenization
1	Machinea
2	destacó
3	que
4	en
5	el
6	proyecto
7	del
8	Presupuesto
9	Nacional
10	2001
11	"
12	hay
13	una
14	reducción
15	del
16	impuesto
17	a
18	los
19	intereses
20	de
21	los
22	créditos
23	que
24	ellos
25	piden
26	"
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Machinea	PROPN	2	nsubj
2	destacó	VERB	0	root
3	que	SCONJ	12	mark
4	en	ADP	6	case
5	el	DET	6	det
6	proyecto	NOUN	12	obl
7	del	ADP	8	case
8	Presupuesto	PROPN	6	nmod
9	Nacional	PROPN	8	flat
10	2001	NUM	8	nummod
11	"	PUNCT	12	punct
12	hay	AUX	2	ccomp
13	una	DET	14	det
14	reducción	NOUN	12	obj
15	del	ADP	16	case
16	impuesto	NOUN	14	nmod
17	a	ADP	19	case
18	los	DET	19	det
19	intereses	NOUN	14	nmod
20	de	ADP	22	case
21	los	DET	22	det
22	créditos	NOUN	19	nmod
23	que	PRON	25	obj
24	ellos	PRON	25	nsubj
25	piden	VERB	22	acl
26	"	PUNCT	12	punct
27	.	PUNCT	2	punct