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:
Lograr dialogar en la lengua del otro me da la sensación de que me hace más amigo, o más vecino del lugar.
Postion	Tokenization
1	Lograr
2	dialogar
3	en
4	la
5	lengua
6	del
7	otro
8	me
9	da
10	la
11	sensación
12	de
13	que
14	me
15	hace
16	más
17	amigo
18	,
19	o
20	más
21	vecino
22	del
23	lugar
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Lograr	VERB	9	csubj
2	dialogar	VERB	1	xcomp
3	en	ADP	5	case
4	la	DET	5	det
5	lengua	NOUN	1	obl
6	del	ADP	7	case
7	otro	PRON	5	nmod
8	me	PRON	9	iobj
9	da	VERB	0	root
10	la	DET	11	det
11	sensación	NOUN	9	obj
12	de	ADP	15	mark
13	que	SCONJ	15	mark
14	me	PRON	15	iobj
15	hace	VERB	11	acl
16	más	ADV	17	advmod
17	amigo	ADJ	15	obj
18	,	PUNCT	21	punct
19	o	CCONJ	21	cc
20	más	ADV	21	advmod
21	vecino	ADJ	17	conj
22	del	ADP	23	case
23	lugar	NOUN	21	nmod
24	.	PUNCT	9	punct