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:
Ser el mono más pequeño les hace vulnerables a todo un ejército de depredadores, y por eso los titíes salvajes parecen estar asustados y vigilantes constantemente.
Postion	Tokenization
1	Ser
2	el
3	mono
4	más
5	pequeño
6	les
7	hace
8	vulnerables
9	a
10	todo
11	un
12	ejército
13	de
14	depredadores
15	,
16	y
17	por
18	eso
19	los
20	titíes
21	salvajes
22	parecen
23	estar
24	asustados
25	y
26	vigilantes
27	constantemente
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ser	AUX	3	cop
2	el	DET	3	det
3	mono	NOUN	7	csubj
4	más	ADV	5	advmod
5	pequeño	ADJ	3	amod
6	les	PRON	7	obj
7	hace	VERB	0	root
8	vulnerables	ADJ	7	iobj
9	a	ADP	12	case
10	todo	DET	12	det
11	un	DET	10	det
12	ejército	NOUN	8	nmod
13	de	ADP	14	case
14	depredadores	NOUN	12	nmod
15	,	PUNCT	22	punct
16	y	CCONJ	22	cc
17	por	ADP	18	case
18	eso	PRON	22	obl
19	los	DET	20	det
20	titíes	NOUN	22	nsubj
21	salvajes	ADJ	20	amod
22	parecen	VERB	7	conj
23	estar	AUX	24	cop
24	asustados	ADJ	22	ccomp
25	y	CCONJ	26	cc
26	vigilantes	ADJ	24	conj
27	constantemente	ADV	24	advmod
28	.	PUNCT	7	punct