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:
La artista ecuatoriana Ana Fernández inició la caminata de despedida con un reducido ejército de curiosos y nostálgicos que se resistían a la desaparición de la moneda sustituida por el dólar.
Postion	Tokenization
1	La
2	artista
3	ecuatoriana
4	Ana
5	Fernández
6	inició
7	la
8	caminata
9	de
10	despedida
11	con
12	un
13	reducido
14	ejército
15	de
16	curiosos
17	y
18	nostálgicos
19	que
20	se
21	resistían
22	a
23	la
24	desaparición
25	de
26	la
27	moneda
28	sustituida
29	por
30	el
31	dólar
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	artista	NOUN	6	nsubj
3	ecuatoriana	ADJ	2	amod
4	Ana	PROPN	2	appos
5	Fernández	PROPN	4	flat
6	inició	VERB	0	root
7	la	DET	8	det
8	caminata	NOUN	6	obj
9	de	ADP	10	case
10	despedida	NOUN	8	nmod
11	con	ADP	14	case
12	un	DET	14	det
13	reducido	ADJ	14	amod
14	ejército	NOUN	6	obl
15	de	ADP	16	case
16	curiosos	NOUN	14	nmod
17	y	CCONJ	18	cc
18	nostálgicos	NOUN	16	conj
19	que	PRON	21	nsubj
20	se	PRON	21	expl:pv
21	resistían	VERB	16	acl
22	a	ADP	24	case
23	la	DET	24	det
24	desaparición	NOUN	21	obj
25	de	ADP	27	case
26	la	DET	27	det
27	moneda	NOUN	24	nmod
28	sustituida	ADJ	27	amod
29	por	ADP	31	case
30	el	DET	31	det
31	dólar	NOUN	28	obj
32	.	PUNCT	6	punct