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:
Don Felipe les dio detalles de su trabajo diario y les informó de cuáles habían sido sus más recientes actividades y viajes.
Postion	Tokenization
1	Don
2	Felipe
3	les
4	dio
5	detalles
6	de
7	su
8	trabajo
9	diario
10	y
11	les
12	informó
13	de
14	cuáles
15	habían
16	sido
17	sus
18	más
19	recientes
20	actividades
21	y
22	viajes
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Don	PROPN	4	nsubj
2	Felipe	PROPN	1	flat
3	les	PRON	4	obj
4	dio	VERB	0	root
5	detalles	NOUN	4	obj
6	de	ADP	8	case
7	su	DET	8	det
8	trabajo	NOUN	5	nmod
9	diario	ADJ	8	amod
10	y	CCONJ	12	cc
11	les	PRON	12	iobj
12	informó	VERB	4	conj
13	de	ADP	20	mark
14	cuáles	PRON	20	nsubj
15	habían	AUX	20	aux
16	sido	AUX	20	cop
17	sus	DET	20	det
18	más	ADV	19	advmod
19	recientes	ADJ	20	amod
20	actividades	NOUN	12	ccomp
21	y	CCONJ	22	cc
22	viajes	NOUN	20	conj
23	.	PUNCT	4	punct