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 fortuna, como decía al principio, la vida nos ha enseñado a no ser exigentes y cualquier detalle, incluidos los chistosos y los prácticos, nos parece de agradecer.
Postion	Tokenization
1	Por
2	fortuna
3	,
4	como
5	decía
6	al
7	principio
8	,
9	la
10	vida
11	nos
12	ha
13	enseñado
14	a
15	no
16	ser
17	exigentes
18	y
19	cualquier
20	detalle
21	,
22	incluidos
23	los
24	chistosos
25	y
26	los
27	prácticos
28	,
29	nos
30	parece
31	de
32	agradecer
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	13	advmod
2	fortuna	NOUN	1	fixed
3	,	PUNCT	5	punct
4	como	SCONJ	5	mark
5	decía	VERB	13	advcl
6	al	ADP	5	advmod
7	principio	NOUN	6	fixed
8	,	PUNCT	5	punct
9	la	DET	10	det
10	vida	NOUN	13	nsubj
11	nos	PRON	13	iobj
12	ha	AUX	13	aux
13	enseñado	VERB	0	root
14	a	ADP	17	mark
15	no	ADV	17	advmod
16	ser	AUX	17	cop
17	exigentes	ADJ	13	xcomp
18	y	CCONJ	30	cc
19	cualquier	DET	20	det
20	detalle	NOUN	30	nsubj
21	,	PUNCT	22	punct
22	incluidos	VERB	20	acl
23	los	DET	24	det
24	chistosos	ADJ	22	nsubj
25	y	CCONJ	27	cc
26	los	DET	27	det
27	prácticos	ADJ	24	conj
28	,	PUNCT	22	punct
29	nos	PRON	30	iobj
30	parece	VERB	13	conj
31	de	ADP	32	mark
32	agradecer	VERB	30	ccomp
33	.	PUNCT	13	punct