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 científicos americanos, necesitados para su carrera de un currículum en constante crecimiento, tienen una regla no escrita publish or perish, publica o perece.
Postion	Tokenization
1	Los
2	científicos
3	americanos
4	,
5	necesitados
6	para
7	su
8	carrera
9	de
10	un
11	currículum
12	en
13	constante
14	crecimiento
15	,
16	tienen
17	una
18	regla
19	no
20	escrita
21	publish
22	or
23	perish
24	,
25	publica
26	o
27	perece
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	científicos	NOUN	16	nsubj
3	americanos	ADJ	2	amod
4	,	PUNCT	5	punct
5	necesitados	ADJ	2	amod
6	para	ADP	8	case
7	su	DET	8	det
8	carrera	NOUN	5	obl
9	de	ADP	11	case
10	un	DET	11	det
11	currículum	NOUN	5	obj
12	en	ADP	14	case
13	constante	ADJ	14	amod
14	crecimiento	NOUN	11	nmod
15	,	PUNCT	5	punct
16	tienen	VERB	0	root
17	una	DET	18	det
18	regla	NOUN	16	obj
19	no	ADV	20	advmod
20	escrita	ADJ	18	amod
21	publish	NOUN	18	appos
22	or	NOUN	21	compound
23	perish	NOUN	21	compound
24	,	PUNCT	25	punct
25	publica	NOUN	21	appos
26	o	CCONJ	25	compound
27	perece	NOUN	25	compound
28	.	PUNCT	16	punct