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:
Del valor de la vida del hombre escribe Kant reiteradamente que no está en lo que disfruta sino en lo que hace en la realidad conforme a los fines de la razón.
Postion	Tokenization
1	Del
2	valor
3	de
4	la
5	vida
6	del
7	hombre
8	escribe
9	Kant
10	reiteradamente
11	que
12	no
13	está
14	en
15	lo
16	que
17	disfruta
18	sino
19	en
20	lo
21	que
22	hace
23	en
24	la
25	realidad
26	conforme
27	a
28	los
29	fines
30	de
31	la
32	razón
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Del	ADP	2	case
2	valor	NOUN	8	obl
3	de	ADP	5	case
4	la	DET	5	det
5	vida	NOUN	2	nmod
6	del	ADP	7	case
7	hombre	NOUN	5	nmod
8	escribe	VERB	0	root
9	Kant	PROPN	8	nsubj
10	reiteradamente	ADV	8	advmod
11	que	SCONJ	13	mark
12	no	ADV	13	advmod
13	está	VERB	8	ccomp
14	en	ADP	17	mark
15	lo	PRON	17	det
16	que	PRON	17	obj
17	disfruta	VERB	13	ccomp
18	sino	CCONJ	22	cc
19	en	ADP	22	mark
20	lo	PRON	22	det
21	que	PRON	22	obj
22	hace	VERB	13	conj
23	en	ADP	25	case
24	la	DET	25	det
25	realidad	NOUN	22	obl
26	conforme	ADJ	25	amod
27	a	ADP	29	case
28	los	DET	29	det
29	fines	NOUN	26	nmod
30	de	ADP	32	case
31	la	DET	32	det
32	razón	NOUN	29	nmod
33	.	PUNCT	8	punct