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:
Los dos se entienden sin necesidad de palabras, un gesto, una mirada y ahí está el uno, en el campo y en la calle, para ayudar al otro.
Postion	Tokenization
1	Los
2	dos
3	se
4	entienden
5	sin
6	necesidad
7	de
8	palabras
9	,
10	un
11	gesto
12	,
13	una
14	mirada
15	y
16	ahí
17	está
18	el
19	uno
20	,
21	en
22	el
23	campo
24	y
25	en
26	la
27	calle
28	,
29	para
30	ayudar
31	al
32	otro
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	dos	NUM	4	nsubj
3	se	PRON	4	obj
4	entienden	VERB	0	root
5	sin	ADP	6	case
6	necesidad	NOUN	4	obl
7	de	ADP	8	case
8	palabras	NOUN	6	nmod
9	,	PUNCT	11	punct
10	un	DET	11	det
11	gesto	NOUN	4	obl
12	,	PUNCT	14	punct
13	una	DET	14	det
14	mirada	NOUN	11	appos
15	y	CCONJ	17	cc
16	ahí	ADV	17	advmod
17	está	VERB	11	conj
18	el	DET	19	det
19	uno	PRON	17	nsubj
20	,	PUNCT	23	punct
21	en	ADP	23	case
22	el	DET	23	det
23	campo	NOUN	17	obj
24	y	CCONJ	27	cc
25	en	ADP	27	case
26	la	DET	27	det
27	calle	NOUN	23	conj
28	,	PUNCT	23	punct
29	para	ADP	30	mark
30	ayudar	VERB	17	advcl
31	al	ADP	32	case
32	otro	PRON	30	obj
33	.	PUNCT	4	punct