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:
El mayor aumento corresponde a Navarra, donde los 3.379 millones previstos en el proyecto del 2001 suponen un 126 por ciento más que la cantidad incluida en el 2000.
Postion	Tokenization
1	El
2	mayor
3	aumento
4	corresponde
5	a
6	Navarra
7	,
8	donde
9	los
10	3.379
11	millones
12	previstos
13	en
14	el
15	proyecto
16	del
17	2001
18	suponen
19	un
20	126
21	por
22	ciento
23	más
24	que
25	la
26	cantidad
27	incluida
28	en
29	el
30	2000
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	mayor	ADJ	3	amod
3	aumento	NOUN	4	nsubj
4	corresponde	VERB	0	root
5	a	ADP	6	case
6	Navarra	PROPN	4	obj
7	,	PUNCT	18	punct
8	donde	PRON	18	obl
9	los	DET	10	det
10	3.379	NUM	11	nummod
11	millones	NOUN	18	nsubj
12	previstos	ADJ	11	amod
13	en	ADP	15	case
14	el	DET	15	det
15	proyecto	NOUN	12	obl
16	del	ADP	17	case
17	2001	NOUN	15	nmod
18	suponen	VERB	6	acl
19	un	DET	20	det
20	126	NUM	18	obj
21	por	ADP	22	case
22	ciento	NUM	20	compound
23	más	ADV	20	advmod
24	que	SCONJ	26	mark
25	la	DET	26	det
26	cantidad	NOUN	20	obl
27	incluida	ADJ	26	amod
28	en	ADP	30	case
29	el	DET	30	det
30	2000	NOUN	27	obl
31	.	PUNCT	4	punct