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 factor Washington ha estado siempre presente, aunque de forma muy discreta, en el caso Pinochet, dado el apoyo que la CIA prestó al general para derrocar al Gobierno de Salvador Allende en 1973.
Postion	Tokenization
1	El
2	factor
3	Washington
4	ha
5	estado
6	siempre
7	presente
8	,
9	aunque
10	de
11	forma
12	muy
13	discreta
14	,
15	en
16	el
17	caso
18	Pinochet
19	,
20	dado
21	el
22	apoyo
23	que
24	la
25	CIA
26	prestó
27	al
28	general
29	para
30	derrocar
31	al
32	Gobierno
33	de
34	Salvador
35	Allende
36	en
37	1973
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	factor	NOUN	7	nsubj
3	Washington	PROPN	2	appos
4	ha	AUX	7	aux
5	estado	AUX	7	cop
6	siempre	ADV	7	advmod
7	presente	ADJ	0	root
8	,	PUNCT	11	punct
9	aunque	SCONJ	11	mark
10	de	ADP	11	case
11	forma	NOUN	7	obl
12	muy	ADV	13	advmod
13	discreta	ADJ	11	amod
14	,	PUNCT	11	punct
15	en	ADP	17	case
16	el	DET	17	det
17	caso	NOUN	7	nmod
18	Pinochet	PROPN	17	appos
19	,	PUNCT	20	punct
20	dado	VERB	7	advcl
21	el	DET	22	det
22	apoyo	NOUN	20	nsubj
23	que	PRON	26	obj
24	la	DET	25	det
25	CIA	PROPN	26	nsubj
26	prestó	VERB	22	acl
27	al	ADP	28	case
28	general	NOUN	26	obj
29	para	ADP	30	mark
30	derrocar	VERB	26	advcl
31	al	ADP	32	case
32	Gobierno	PROPN	30	obj
33	de	ADP	34	case
34	Salvador	PROPN	32	nmod
35	Allende	PROPN	34	flat
36	en	ADP	37	case
37	1973	NOUN	30	obl
38	.	PUNCT	7	punct