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 todos estos lugares Don Felipe comprobó en la calle el afecto con que es recibido en esta tierra, en tanto que en los despachos conoció los proyectos con los que los turolenses preparan su futuro.
Postion	Tokenization
1	En
2	todos
3	estos
4	lugares
5	Don
6	Felipe
7	comprobó
8	en
9	la
10	calle
11	el
12	afecto
13	con
14	que
15	es
16	recibido
17	en
18	esta
19	tierra
20	,
21	en
22	tanto
23	que
24	en
25	los
26	despachos
27	conoció
28	los
29	proyectos
30	con
31	los
32	que
33	los
34	turolenses
35	preparan
36	su
37	futuro
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	todos	DET	3	det
3	estos	DET	4	det
4	lugares	NOUN	7	obl
5	Don	PROPN	7	nsubj
6	Felipe	PROPN	5	flat
7	comprobó	VERB	21	parataxis
8	en	ADP	10	case
9	la	DET	10	det
10	calle	NOUN	7	obl
11	el	DET	12	det
12	afecto	NOUN	7	obj
13	con	ADP	14	case
14	que	PRON	16	obl
15	es	AUX	16	aux
16	recibido	VERB	12	acl
17	en	ADP	19	case
18	esta	DET	19	det
19	tierra	NOUN	16	obl
20	,	PUNCT	21	punct
21	en	ADP	0	root
22	tanto	NOUN	21	fixed
23	que	SCONJ	21	fixed
24	en	ADP	26	case
25	los	DET	26	det
26	despachos	NOUN	27	obl
27	conoció	VERB	21	parataxis
28	los	DET	29	det
29	proyectos	NOUN	27	obj
30	con	ADP	32	case
31	los	DET	32	det
32	que	PRON	35	obl
33	los	DET	34	det
34	turolenses	NOUN	35	nsubj
35	preparan	VERB	29	acl
36	su	DET	37	det
37	futuro	NOUN	35	obj
38	.	PUNCT	21	punct