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:
'Por eso, la salud no se dice solamente del organismo físico sino también de la razón por su vigor o por el grado de su activación.
Postion	Tokenization
1	'
2	Por
3	eso
4	,
5	la
6	salud
7	no
8	se
9	dice
10	solamente
11	del
12	organismo
13	físico
14	sino
15	también
16	de
17	la
18	razón
19	por
20	su
21	vigor
22	o
23	por
24	el
25	grado
26	de
27	su
28	activación
29	.
Position	Tokenization	UPOS	Head	Deprel
1	'	SYM	9	nmod
2	Por	ADP	3	case
3	eso	PRON	9	obl
4	,	PUNCT	3	punct
5	la	DET	6	det
6	salud	NOUN	9	nsubj
7	no	ADV	9	advmod
8	se	PRON	9	expl:pass
9	dice	VERB	0	root
10	solamente	ADV	9	advmod
11	del	ADP	12	case
12	organismo	NOUN	9	obl
13	físico	ADJ	12	amod
14	sino	CCONJ	15	cc
15	también	ADV	9	conj
16	de	ADP	15	case
17	la	DET	18	det
18	razón	NOUN	15	parataxis
19	por	ADP	21	case
20	su	DET	21	det
21	vigor	NOUN	15	obl
22	o	CCONJ	25	cc
23	por	ADP	25	case
24	el	DET	25	det
25	grado	NOUN	21	conj
26	de	ADP	28	case
27	su	DET	28	det
28	activación	NOUN	25	nmod
29	.	PUNCT	9	punct