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:
Plus d'un million et demi de Philippins perdent la vie dans cette guerre sans pitié, où indépendantistes, bandits et Américains commettent de nombreux massacres.
Postion	Tokenization
1	Plus
2	d'
3	un
4	million
5	et
6	demi
7	de
8	Philippins
9	perdent
10	la
11	vie
12	dans
13	cette
14	guerre
15	sans
16	pitié
17	,
18	où
19	indépendantistes
20	,
21	bandits
22	et
23	Américains
24	commettent
25	de
26	nombreux
27	massacres
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Plus	ADV	9	nsubj
2	d'	ADP	4	case
3	un	NUM	4	nummod
4	million	NOUN	1	dep:comp
5	et	CCONJ	6	cc
6	demi	ADJ	4	conj
7	de	ADP	8	case
8	Philippins	PROPN	6	obl:mod
9	perdent	VERB	0	root
10	la	DET	11	det
11	vie	NOUN	9	obj
12	dans	ADP	14	case
13	cette	DET	14	det
14	guerre	NOUN	9	obl:mod
15	sans	ADP	16	case
16	pitié	NOUN	14	nmod
17	,	PUNCT	24	punct
18	où	ADV	24	advmod
19	indépendantistes	NOUN	24	nsubj
20	,	PUNCT	21	punct
21	bandits	NOUN	19	conj
22	et	CCONJ	23	cc
23	Américains	NOUN	19	conj
24	commettent	VERB	14	acl:relcl
25	de	DET	27	det
26	nombreux	ADJ	27	amod
27	massacres	NOUN	24	obj
28	.	PUNCT	9	punct