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:
"No quiso opinar sobre esos fichajes pues no los conocía", dijo orgulloso el presidente sin darse cuenta de la puñalada que le estaba dando al técnico al llamarle ignorante.
Postion	Tokenization
1	"
2	No
3	quiso
4	opinar
5	sobre
6	esos
7	fichajes
8	pues
9	no
10	los
11	conocía
12	"
13	,
14	dijo
15	orgulloso
16	el
17	presidente
18	sin
19	darse
20	dar
21	se
22	cuenta
23	de
24	la
25	puñalada
26	que
27	le
28	estaba
29	dando
30	al
31	técnico
32	al
33	llamarle
34	llamar
35	le
36	ignorante
37	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	No	ADV	3	advmod
3	quiso	VERB	14	ccomp
4	opinar	VERB	3	xcomp
5	sobre	ADP	7	case
6	esos	DET	7	det
7	fichajes	NOUN	4	obl
8	pues	SCONJ	11	mark
9	no	ADV	11	advmod
10	los	PRON	11	obj
11	conocía	VERB	3	advcl
12	"	PUNCT	3	punct
13	,	PUNCT	3	punct
14	dijo	VERB	0	root
15	orgulloso	ADJ	14	iobj
16	el	DET	17	det
17	presidente	NOUN	14	nsubj
18	sin	ADP	19	mark
19	darse	_	None	_
20	dar	VERB	14	advcl
21	se	PRON	19	expl:pv
22	cuenta	NOUN	19	compound
23	de	ADP	24	case
24	la	DET	24	det
25	puñalada	NOUN	19	obj
26	que	PRON	28	obj
27	le	PRON	28	obj
28	estaba	AUX	28	aux
29	dando	VERB	24	acl
30	al	ADP	30	case
31	técnico	NOUN	28	obj
32	al	ADP	32	mark
33	llamarle	_	None	_
34	llamar	VERB	28	advcl
35	le	PRON	32	obj
36	ignorante	NOUN	32	obj
37	.	PUNCT	14	punct