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 exhibió sus fuerzas y siempre les pueden quedar las dudas de si se reservó o de si realmente no tuvo fuerzas para atacar desde más lejos, como en Sierra Nevada.
Postion	Tokenization
1	No
2	exhibió
3	sus
4	fuerzas
5	y
6	siempre
7	les
8	pueden
9	quedar
10	las
11	dudas
12	de
13	si
14	se
15	reservó
16	o
17	de
18	si
19	realmente
20	no
21	tuvo
22	fuerzas
23	para
24	atacar
25	desde
26	más
27	lejos
28	,
29	como
30	en
31	Sierra
32	Nevada
33	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	2	advmod
2	exhibió	VERB	0	root
3	sus	DET	4	det
4	fuerzas	NOUN	2	obj
5	y	CCONJ	9	cc
6	siempre	ADV	9	advmod
7	les	PRON	9	obj
8	pueden	AUX	9	aux
9	quedar	VERB	2	conj
10	las	DET	11	det
11	dudas	NOUN	9	nsubj
12	de	ADP	15	mark
13	si	SCONJ	15	mark
14	se	PRON	15	obj
15	reservó	VERB	11	acl
16	o	CCONJ	21	cc
17	de	ADP	21	mark
18	si	SCONJ	21	mark
19	realmente	ADV	21	advmod
20	no	ADV	21	advmod
21	tuvo	VERB	15	conj
22	fuerzas	NOUN	21	obj
23	para	ADP	24	mark
24	atacar	VERB	21	advcl
25	desde	ADP	27	case
26	más	ADV	27	advmod
27	lejos	ADV	24	advmod
28	,	PUNCT	31	punct
29	como	SCONJ	31	mark
30	en	ADP	31	case
31	Sierra	PROPN	24	obl
32	Nevada	PROPN	31	flat
33	.	PUNCT	2	punct