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:
Triadú definió este eje "como un nuevo Silicon Valley, algo difícil de conseguir pero que la Generalitat tiene la obligación de intentar".
Postion	Tokenization
1	Triadú
2	definió
3	este
4	eje
5	"
6	como
7	un
8	nuevo
9	Silicon
10	Valley
11	,
12	algo
13	difícil
14	de
15	conseguir
16	pero
17	que
18	la
19	Generalitat
20	tiene
21	la
22	obligación
23	de
24	intentar
25	"
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Triadú	PROPN	2	nsubj
2	definió	VERB	0	root
3	este	DET	4	det
4	eje	NOUN	2	obj
5	"	PUNCT	9	punct
6	como	SCONJ	9	mark
7	un	DET	9	det
8	nuevo	ADJ	9	amod
9	Silicon	PROPN	2	obj
10	Valley	PROPN	9	flat
11	,	PUNCT	12	punct
12	algo	PRON	9	appos
13	difícil	ADJ	12	amod
14	de	ADP	15	mark
15	conseguir	VERB	13	acl
16	pero	CCONJ	20	cc
17	que	PRON	20	obj
18	la	DET	19	det
19	Generalitat	PROPN	20	nsubj
20	tiene	VERB	13	conj
21	la	DET	22	det
22	obligación	NOUN	20	obj
23	de	ADP	24	mark
24	intentar	VERB	22	acl
25	"	PUNCT	9	punct
26	.	PUNCT	2	punct