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:
En su estado de ánimo, además de cansancio físico, se van acumulando otros tipos de "fatigas", como son la separación prolongada de su familia.
Postion	Tokenization
1	En
2	su
3	estado
4	de
5	ánimo
6	,
7	además
8	de
9	cansancio
10	físico
11	,
12	se
13	van
14	acumulando
15	otros
16	tipos
17	de
18	"
19	fatigas
20	"
21	,
22	como
23	son
24	la
25	separación
26	prolongada
27	de
28	su
29	familia
30	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	su	DET	3	det
3	estado	NOUN	14	obl
4	de	ADP	5	case
5	ánimo	NOUN	3	nmod
6	,	PUNCT	9	punct
7	además	ADV	9	case
8	de	ADP	7	fixed
9	cansancio	NOUN	14	obl
10	físico	ADJ	9	amod
11	,	PUNCT	9	punct
12	se	PRON	14	expl:pv
13	van	AUX	14	aux
14	acumulando	VERB	0	root
15	otros	DET	16	det
16	tipos	NOUN	14	nsubj
17	de	ADP	19	case
18	"	PUNCT	19	punct
19	fatigas	NOUN	16	nmod
20	"	PUNCT	19	punct
21	,	PUNCT	25	punct
22	como	SCONJ	25	mark
23	son	AUX	25	cop
24	la	DET	25	det
25	separación	NOUN	19	acl
26	prolongada	ADJ	25	amod
27	de	ADP	29	case
28	su	DET	29	det
29	familia	NOUN	25	nmod
30	.	PUNCT	14	punct