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:
Mamani dijo hoy que atravesó el alambrado con sus compañeros para acortar camino y llegar a otra comunidad donde lo esperaban sus hermanos.
Postion	Tokenization
1	Mamani
2	dijo
3	hoy
4	que
5	atravesó
6	el
7	alambrado
8	con
9	sus
10	compañeros
11	para
12	acortar
13	camino
14	y
15	llegar
16	a
17	otra
18	comunidad
19	donde
20	lo
21	esperaban
22	sus
23	hermanos
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Mamani	PROPN	2	nsubj
2	dijo	VERB	0	root
3	hoy	ADV	2	advmod
4	que	SCONJ	5	mark
5	atravesó	VERB	2	ccomp
6	el	DET	7	det
7	alambrado	NOUN	5	obj
8	con	ADP	10	case
9	sus	DET	10	det
10	compañeros	NOUN	5	obl
11	para	ADP	12	mark
12	acortar	VERB	5	advcl
13	camino	NOUN	12	obj
14	y	CCONJ	15	cc
15	llegar	VERB	12	conj
16	a	ADP	18	case
17	otra	DET	18	det
18	comunidad	NOUN	15	obl
19	donde	PRON	21	obl
20	lo	PRON	21	obj
21	esperaban	VERB	18	acl
22	sus	DET	23	det
23	hermanos	NOUN	21	nsubj
24	.	PUNCT	2	punct